Gender Discrimination in Employment: Wage Inequity for Professional and Doctoral Degree Holders in the United States and Possible Remedies.
Bibliographic record
Abstract
Gender discrimination and wage inequity remain problems worldwide. In the United States and Canada, where equal rights and protective legislation have been in place for nearly 40 years, glaring disparities in salaries and job opportunities remain. Similar problems have been studied in the United Kingdom, leading to enactment of the 1975 Sex Discrimination Act1 and the Equal Pay Act.2 Paradoxically, data from the 2000 U.S. Census show that the more education women achieve, the worse the salary gap becomes, especially for women with advanced degrees. Legislation that has increased educational opportunity, funding, and access for women such as Title IX3 is coming under attack as being biased against males. This attack is occurring even though Title IX has not yet accomplished the equitable treatment it was intended to achieve. Strategies to address pay equity include support of new legislation, such as comparable worth measures like those that have been implemented in the United Kingdom, and support and strengthening of existing legislation (Title IX, Title VII of the Civil Rights Act of 1964, and the Equal Pay Act of 1963).4 Tools Karen M. Wolford is a professor in the Psychology Department of the State University of New York College at Oswego. This article was presented at the Oxford Roundtable, Oxford, England, August 2003. 1. 1975 Sex Discrimination Act. The UK Equal Opportunities Commission. Retrieved March 28, 2003, fromhttp://www.eoc.org.uk/cseng/legislation/the_sex_discrimination_act_an_overview.asp. 2. Equal Pay Act of United Kingdom. The UK Equal Opportunities Commission. Retrieved March 28, 2003, from http://www.eoc.org.uk/EOCeng/EOCs/News/press_releases_i999_2i.asp. 3. Title IX of the U.S. Civil Rights Act of 1972, the U.S. Equal Employment Opportunity Commission. Retrieved March 28, 2003, from http://www.ed.g0v/pubs/TitleIX/part3.html. 4. Title IX of the U.S. Civil Rights Act of 1972; Title VII of the Civil Rights Act of 1964, the U.S. Equal Employment Opportunity Commission. Retrieved March 28, 2003, from http://www.ed.gov/facts/ qanda.htm; The Equal Pay Act of 1963, The U.S. Equal Employment Opportunity Commission. Retrieved March 28, 2003, from http://www.ed.gov/facts/qanda.htm. 82 JOURNAL OF EDUCATION FINANCE | 3IH SUMMER 2005 82-100 This content downloaded from 157.55.39.212 on Wed, 08 Jun 2016 05:58:35 UTC All use subject to http://about.jstor.org/terms Gender Discrimination in Employment 83 that empower women to address these problems and urge employers to correct inequities in employment from points of first access, preparation for pursuit of merit awards, to pursuit of promotion, and internal and external networking are highlighted in this article.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".