SlideShare une entreprise Scribd logo
1  sur  20
The Institution of Work
      & Gender
         Chapter 9
         Garret McAlpine
            CMS 498
            7/24/2012
Work as a Social Institution
❖   The meaning of work is not universal. Certain types of
    work exist that are not really gender neutral.

❖   The notion of “work” as something that occurs outside of
    the home is a Western bias.

❖   Work expectations are not consistent across sexes. It is
    not a gender or sex-neutral institution.
Masculine VS Feminine
❖   Work is best understood as a masculine institution.

❖   In some ways, a man is not considered a man unless he is
    gainfully employed.

❖   Work persists across time, composed of distinct social
    practices that recur.
Masculine VS Feminine
❖   The work or job a man does is a major part of his identity
    and defines his level of manliness.

❖   Every male U.S. citizen is expected to work, to become a “tax
    paying citizen.”

❖   Predominantly, male occupations possess more social value as
    indicated by things like higher pay, more authority, prestige
    and greater opportunities for advancement.
Masculine VS Feminine
❖   While many men and women who are parents also choose to work, there is
    less stigma around the father going to work every day as opposed to the
    mother who must put her children in day care and therefore open to greater
    criticism.

❖   Women who have had to rely on welfare to raise their children are
    considered “bad mothers” because they remain at home and collect a check
    from the state instead of work full-time, even though full-time work may not
    be an option.
Masculine VS Feminine
❖   Many job titles often have unnecessary gender labels assigned to them. Even
    if the job is considered gender neutral, there are societal expectations that
    the majority of workers in these various positions are predominantly either
    male or female, depending on the work.

❖   Things like “male nurse”, “landlady” (instead of landlord), “female judge”,
    “male model” and so on. Each of these jobs as they stand alone do not define
    gender expectations in their respective roles. However, some feel it’s
    necessary to identify the gender specifics when discussing work labels so as
    not to confuse the recipient of the wording. It is not necessarily true that
    nurses or flight attendants are mostly female, therefore it creates the
    necessity to identify individuals who choose to work in those fields who do
    not fit gender expectations.
Gender & Work
        “Male” Nurse
        “Male” Hairdresser
        “Male” Flight Attendant
Gender & Work
        “Female” Judge
        “Female” Construction Worker
        “Female” Fire Fighter
Work VS Family

❖   There is an intersection in the U.S. between work and
    family, often the cause of conflict.

❖   Work and family are two separate institutions with differing
    goals, values and demands.

❖   Rapidly increasing time stress in U.S. culture causes many to
    choose work over family for the rewards it often promises.
Dissolving Gender Roles
Gender & Wage
Gender & Wage
Gender & Wage
❖   The Census Bureau recently released updated state data on the gap between
    women’s and men’s earnings. In 2008, median earnings for women were $35,471, or
    77.9 percent of men’s earnings, which totaled $45,556.

❖   Women earned less than men in each of the 50 states and the District of Columbia
    — but slightly more than men in Puerto Rico, where the median woman made 101.1
    percent of what the median man made. Within the 50 states and the capital, the
    District of Columbia had the highest ratio of women’s-to-men’s earnings (88 cents
    on the dollar), followed by California, Arizona, Maryland and New York.The biggest
    wage gap was in Wyoming, where women earned 64.3 percent of men’s earnings.
Top 10 Facts About The Wage Gap
1. In 2010 women who worked full time, year round, still only earned 77 percent
of what men earned.

2. The gender wage gap does not only affect individuals—entire families are
impacted by women’s earnings

3. Women earn less than men within all racial and ethnic groups.

4. Even though women are outpacing men in getting college degrees that’s not
enough to close the gender pay gap.

5. Women are more likely to work in low-wage, “pink-collar” jobs such as
teaching, child care, nursing, cleaning, and waitressing.
Top 10 Facts About The Wage Gap
6. The wage gap accumulates over time. Over a 40-year working career, the
average woman loses $431,000 as the result of the wage gap.

7. As women age the wage gap continues to grow. For working women between
the ages of 25 to 29, the annual wage gap is $1,702.

8. Single women are even more adversely affected by the wage gap than married
women. Single women earn only 78.8 percent of what married women earn,
and only 57 cents for every dollar that married males earn.

9. More than 40 percent of the wage gap cannot be explained by occupation,
work experience, race, or union membership.

10. Mothers earn about 7 percent less per child than childless women. For
women under 35 years of age, the wage gap between mothers and women
without children is greater than the gap between women and men.
Work & Gender Constraints

❖   Evidence of unequal pay and treatment based on sex is
    undeniable.

❖   Joan Acker pioneered a study of the way work is gendered
    through structure.

❖   Her research concluded that “organizational structure is not
    gender neutral.”
Acker’s Five Reasons for Gender &
             Organization
1. The sex segregation of work, including which work is paid and
unpaid.

2. Income and status inequality between women and men and
how this is created through organizational structure.

3. How organizations invent and reproduce cultural images of sex
and gender.

4. The way in which gender, particularly masculinity, is the
product of organizational processes.

5. The need to make organizations more democratic and more
supportive of humane goals.
Acker’s Five Reasons for Gender &
                      Organization



❖   Represent five intersecting processes that make issues of
    power, control and dominance gendered.

❖   Her pioneering research focused on the way in which work is
    gendered through organizational structure.
Conclusion
❖   There is a direct correlation between gender and an unequal pay scale. The difference has
    existed for a very long time, even with factors like higher education, the fact remains that
    men statistically earn more than women for the same job.

❖   Perceptions and expectations of gender play a role in how a hierarchy of power is formed.
    Who plays what role is determined by gender before other things, and expectations and
    relationships with co-workers and boss/employee can change based on that.

❖   Despite equal ability, education, intellect and proficiency, race also plays a role in the gender
    wage gap. Work can constrain as well as liberate.

❖   Everyone works, despite their gender identity. “If one does not work, that in itself is a basis
    for judgment.” (pg. 215) However, race and gender and being a parent all affect income levels
    across various jobs and industries.

❖   What we choose to do for a career is a large part of our identity, and gender plays a vital role
    in that. The work itself “genders and is gendered”.
Sources
❖   http://www.time.com/time/nation/article/0,8599,1983158,00.htm

❖   http://www.businessweek.com/articles/2012-03-12/equal-pay-plaintiffs-burdenofproof

❖   http://www.americanprogress.org/issues/2012/04/wagegapfacts.html

❖   http://www.bbc.co.uk/news/uk-11511714

❖   http://www.legalnewsline.com/news/236324-gender-wage-gap-progress-slowed-under-obama-report

❖   http://www.washingtonpost.com/blogs/fact-checker/post/the-white-houses-use-of-data-on-the-gender-wage-gap/
    2012/06/04/gJQAYH6nEV_blog.html

❖   http://www.forbes.com/realspin/2012/04/16/its-time-that-we-end-the-equal-pay-myths/

❖   DeFrancisco, Victoria L. & Palzewski, Catherine Helen, Communicating Gender Diversity: A Critical Approach. Los
    Angeles. Sage Publications, 2007. Print.

Contenu connexe

Tendances

Gender Equality in the Workplace
Gender Equality in the Workplace Gender Equality in the Workplace
Gender Equality in the Workplace WBDC of Florida
 
Discrimination against women in the workplace ppt
Discrimination against women in the workplace pptDiscrimination against women in the workplace ppt
Discrimination against women in the workplace pptdiscriminationagains
 
Slide share week 11 - Gender Inequality
Slide share week 11 - Gender InequalitySlide share week 11 - Gender Inequality
Slide share week 11 - Gender InequalityAisha Mulligan
 
CRS Powerpoint
CRS PowerpointCRS Powerpoint
CRS Powerpointelishahlup
 
Gender Diversity in India
Gender Diversity in IndiaGender Diversity in India
Gender Diversity in Indiavaluvox
 
Gender pay gap pp
Gender pay gap ppGender pay gap pp
Gender pay gap ppahdoyle
 
Falling Marriage Rates Reveal Economic Fault Lines Yarrow 2.8.15
Falling Marriage Rates Reveal Economic Fault  Lines    Yarrow 2.8.15Falling Marriage Rates Reveal Economic Fault  Lines    Yarrow 2.8.15
Falling Marriage Rates Reveal Economic Fault Lines Yarrow 2.8.15Andrew Yarrow
 
Lebanese Women in Business: Evidence from a Challenging and Evolving Lebanese...
Lebanese Women in Business: Evidence from a Challenging and Evolving Lebanese...Lebanese Women in Business: Evidence from a Challenging and Evolving Lebanese...
Lebanese Women in Business: Evidence from a Challenging and Evolving Lebanese...CSCJournals
 
Gender inequality- Creating a Significant income gap
Gender inequality- Creating a Significant income gapGender inequality- Creating a Significant income gap
Gender inequality- Creating a Significant income gapRebeccaFerby
 
Equal pay for women
Equal pay for womenEqual pay for women
Equal pay for womenchxfrmrvt
 
Lecture 7 gender inequality
Lecture 7   gender inequalityLecture 7   gender inequality
Lecture 7 gender inequalityAlwyn Lau
 
Crs final powerpoint
Crs final powerpointCrs final powerpoint
Crs final powerpointelishahlup
 
Women in the workplace
Women in the workplaceWomen in the workplace
Women in the workplaceSydneyLedwedge
 

Tendances (19)

Gender Equality in the Workplace
Gender Equality in the Workplace Gender Equality in the Workplace
Gender Equality in the Workplace
 
Discrimination against women in the workplace ppt
Discrimination against women in the workplace pptDiscrimination against women in the workplace ppt
Discrimination against women in the workplace ppt
 
Slide share week 11 - Gender Inequality
Slide share week 11 - Gender InequalitySlide share week 11 - Gender Inequality
Slide share week 11 - Gender Inequality
 
CRS Powerpoint
CRS PowerpointCRS Powerpoint
CRS Powerpoint
 
Gender Diversity in India
Gender Diversity in IndiaGender Diversity in India
Gender Diversity in India
 
Gender pay gap pp
Gender pay gap ppGender pay gap pp
Gender pay gap pp
 
women and work
women and workwomen and work
women and work
 
Sexism in the workplace
Sexism in the workplaceSexism in the workplace
Sexism in the workplace
 
Annotated Bibliography
Annotated BibliographyAnnotated Bibliography
Annotated Bibliography
 
Falling Marriage Rates Reveal Economic Fault Lines Yarrow 2.8.15
Falling Marriage Rates Reveal Economic Fault  Lines    Yarrow 2.8.15Falling Marriage Rates Reveal Economic Fault  Lines    Yarrow 2.8.15
Falling Marriage Rates Reveal Economic Fault Lines Yarrow 2.8.15
 
Lebanese Women in Business: Evidence from a Challenging and Evolving Lebanese...
Lebanese Women in Business: Evidence from a Challenging and Evolving Lebanese...Lebanese Women in Business: Evidence from a Challenging and Evolving Lebanese...
Lebanese Women in Business: Evidence from a Challenging and Evolving Lebanese...
 
Gender inequality- Creating a Significant income gap
Gender inequality- Creating a Significant income gapGender inequality- Creating a Significant income gap
Gender inequality- Creating a Significant income gap
 
Equal pay for women
Equal pay for womenEqual pay for women
Equal pay for women
 
Lecture 7 gender inequality
Lecture 7   gender inequalityLecture 7   gender inequality
Lecture 7 gender inequality
 
Crs final powerpoint
Crs final powerpointCrs final powerpoint
Crs final powerpoint
 
Diversity week5 class1
Diversity week5 class1Diversity week5 class1
Diversity week5 class1
 
Sexism
Sexism Sexism
Sexism
 
Women in Leadership
Women in LeadershipWomen in Leadership
Women in Leadership
 
Women in the workplace
Women in the workplaceWomen in the workplace
Women in the workplace
 

Similaire à Cms498.chap9 presentation

Similaire à Cms498.chap9 presentation (9)

Gender inequality (2)
Gender inequality (2)Gender inequality (2)
Gender inequality (2)
 
Gender inequality (2)
Gender inequality (2)Gender inequality (2)
Gender inequality (2)
 
PSY 126 Week 13: Valuing Diversity Globally
PSY 126 Week 13: Valuing Diversity GloballyPSY 126 Week 13: Valuing Diversity Globally
PSY 126 Week 13: Valuing Diversity Globally
 
Merit Pay Essay
Merit Pay EssayMerit Pay Essay
Merit Pay Essay
 
Gender Equality
Gender EqualityGender Equality
Gender Equality
 
Workgenderpresent
WorkgenderpresentWorkgenderpresent
Workgenderpresent
 
Gender Inequality
Gender InequalityGender Inequality
Gender Inequality
 
Plank Center Webinar: Women & Leadership in Public Relations
Plank Center Webinar: Women & Leadership in Public RelationsPlank Center Webinar: Women & Leadership in Public Relations
Plank Center Webinar: Women & Leadership in Public Relations
 
Work pp
Work ppWork pp
Work pp
 

Dernier

unit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptxunit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptxBkGupta21
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 3652toLead Limited
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenHervé Boutemy
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxNavinnSomaal
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxLoriGlavin3
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Mattias Andersson
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brandgvaughan
 
SALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICESSALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICESmohitsingh558521
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024BookNet Canada
 
What is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfWhat is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfMounikaPolabathina
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek SchlawackFwdays
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyAlfredo García Lavilla
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxLoriGlavin3
 
Generative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersGenerative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersRaghuram Pandurangan
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebUiPathCommunity
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupFlorian Wilhelm
 
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.Curtis Poe
 

Dernier (20)

unit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptxunit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptx
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache Maven
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptx
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brand
 
SALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICESSALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICES
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
 
What is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfWhat is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdf
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easy
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
 
Generative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersGenerative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information Developers
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio Web
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project Setup
 
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.
 

Cms498.chap9 presentation

  • 1. The Institution of Work & Gender Chapter 9 Garret McAlpine CMS 498 7/24/2012
  • 2. Work as a Social Institution ❖ The meaning of work is not universal. Certain types of work exist that are not really gender neutral. ❖ The notion of “work” as something that occurs outside of the home is a Western bias. ❖ Work expectations are not consistent across sexes. It is not a gender or sex-neutral institution.
  • 3. Masculine VS Feminine ❖ Work is best understood as a masculine institution. ❖ In some ways, a man is not considered a man unless he is gainfully employed. ❖ Work persists across time, composed of distinct social practices that recur.
  • 4. Masculine VS Feminine ❖ The work or job a man does is a major part of his identity and defines his level of manliness. ❖ Every male U.S. citizen is expected to work, to become a “tax paying citizen.” ❖ Predominantly, male occupations possess more social value as indicated by things like higher pay, more authority, prestige and greater opportunities for advancement.
  • 5. Masculine VS Feminine ❖ While many men and women who are parents also choose to work, there is less stigma around the father going to work every day as opposed to the mother who must put her children in day care and therefore open to greater criticism. ❖ Women who have had to rely on welfare to raise their children are considered “bad mothers” because they remain at home and collect a check from the state instead of work full-time, even though full-time work may not be an option.
  • 6. Masculine VS Feminine ❖ Many job titles often have unnecessary gender labels assigned to them. Even if the job is considered gender neutral, there are societal expectations that the majority of workers in these various positions are predominantly either male or female, depending on the work. ❖ Things like “male nurse”, “landlady” (instead of landlord), “female judge”, “male model” and so on. Each of these jobs as they stand alone do not define gender expectations in their respective roles. However, some feel it’s necessary to identify the gender specifics when discussing work labels so as not to confuse the recipient of the wording. It is not necessarily true that nurses or flight attendants are mostly female, therefore it creates the necessity to identify individuals who choose to work in those fields who do not fit gender expectations.
  • 7. Gender & Work “Male” Nurse “Male” Hairdresser “Male” Flight Attendant
  • 8. Gender & Work “Female” Judge “Female” Construction Worker “Female” Fire Fighter
  • 9. Work VS Family ❖ There is an intersection in the U.S. between work and family, often the cause of conflict. ❖ Work and family are two separate institutions with differing goals, values and demands. ❖ Rapidly increasing time stress in U.S. culture causes many to choose work over family for the rewards it often promises.
  • 13. Gender & Wage ❖ The Census Bureau recently released updated state data on the gap between women’s and men’s earnings. In 2008, median earnings for women were $35,471, or 77.9 percent of men’s earnings, which totaled $45,556. ❖ Women earned less than men in each of the 50 states and the District of Columbia — but slightly more than men in Puerto Rico, where the median woman made 101.1 percent of what the median man made. Within the 50 states and the capital, the District of Columbia had the highest ratio of women’s-to-men’s earnings (88 cents on the dollar), followed by California, Arizona, Maryland and New York.The biggest wage gap was in Wyoming, where women earned 64.3 percent of men’s earnings.
  • 14. Top 10 Facts About The Wage Gap 1. In 2010 women who worked full time, year round, still only earned 77 percent of what men earned. 2. The gender wage gap does not only affect individuals—entire families are impacted by women’s earnings 3. Women earn less than men within all racial and ethnic groups. 4. Even though women are outpacing men in getting college degrees that’s not enough to close the gender pay gap. 5. Women are more likely to work in low-wage, “pink-collar” jobs such as teaching, child care, nursing, cleaning, and waitressing.
  • 15. Top 10 Facts About The Wage Gap 6. The wage gap accumulates over time. Over a 40-year working career, the average woman loses $431,000 as the result of the wage gap. 7. As women age the wage gap continues to grow. For working women between the ages of 25 to 29, the annual wage gap is $1,702. 8. Single women are even more adversely affected by the wage gap than married women. Single women earn only 78.8 percent of what married women earn, and only 57 cents for every dollar that married males earn. 9. More than 40 percent of the wage gap cannot be explained by occupation, work experience, race, or union membership. 10. Mothers earn about 7 percent less per child than childless women. For women under 35 years of age, the wage gap between mothers and women without children is greater than the gap between women and men.
  • 16. Work & Gender Constraints ❖ Evidence of unequal pay and treatment based on sex is undeniable. ❖ Joan Acker pioneered a study of the way work is gendered through structure. ❖ Her research concluded that “organizational structure is not gender neutral.”
  • 17. Acker’s Five Reasons for Gender & Organization 1. The sex segregation of work, including which work is paid and unpaid. 2. Income and status inequality between women and men and how this is created through organizational structure. 3. How organizations invent and reproduce cultural images of sex and gender. 4. The way in which gender, particularly masculinity, is the product of organizational processes. 5. The need to make organizations more democratic and more supportive of humane goals.
  • 18. Acker’s Five Reasons for Gender & Organization ❖ Represent five intersecting processes that make issues of power, control and dominance gendered. ❖ Her pioneering research focused on the way in which work is gendered through organizational structure.
  • 19. Conclusion ❖ There is a direct correlation between gender and an unequal pay scale. The difference has existed for a very long time, even with factors like higher education, the fact remains that men statistically earn more than women for the same job. ❖ Perceptions and expectations of gender play a role in how a hierarchy of power is formed. Who plays what role is determined by gender before other things, and expectations and relationships with co-workers and boss/employee can change based on that. ❖ Despite equal ability, education, intellect and proficiency, race also plays a role in the gender wage gap. Work can constrain as well as liberate. ❖ Everyone works, despite their gender identity. “If one does not work, that in itself is a basis for judgment.” (pg. 215) However, race and gender and being a parent all affect income levels across various jobs and industries. ❖ What we choose to do for a career is a large part of our identity, and gender plays a vital role in that. The work itself “genders and is gendered”.
  • 20. Sources ❖ http://www.time.com/time/nation/article/0,8599,1983158,00.htm ❖ http://www.businessweek.com/articles/2012-03-12/equal-pay-plaintiffs-burdenofproof ❖ http://www.americanprogress.org/issues/2012/04/wagegapfacts.html ❖ http://www.bbc.co.uk/news/uk-11511714 ❖ http://www.legalnewsline.com/news/236324-gender-wage-gap-progress-slowed-under-obama-report ❖ http://www.washingtonpost.com/blogs/fact-checker/post/the-white-houses-use-of-data-on-the-gender-wage-gap/ 2012/06/04/gJQAYH6nEV_blog.html ❖ http://www.forbes.com/realspin/2012/04/16/its-time-that-we-end-the-equal-pay-myths/ ❖ DeFrancisco, Victoria L. & Palzewski, Catherine Helen, Communicating Gender Diversity: A Critical Approach. Los Angeles. Sage Publications, 2007. Print.

Notes de l'éditeur

  1. \n
  2. \n
  3. \n
  4. \n
  5. \n
  6. \n
  7. \n
  8. \n
  9. \n
  10. \n
  11. \n
  12. \n
  13. \n
  14. \n
  15. \n
  16. \n
  17. \n
  18. \n
  19. \n
  20. \n