The NAFTA(ization) of Sexual Harassment: The Experience of Canada, Mexico, and the United States
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
I. Cross-National Differences and "Doing Business"As international markets become increasingly more interdependent due to regional and international economic agreements, labor practices will also become more homogeneous cross-nationally.In the United States, for example, the number of U.S. female workers residing in another country has more than doubled from six percent in 1990 to twelve percent in 1995.1 It is estimated by Windham International, which conducted a survey on female expatriates, that the number of women expatriate workers will reach 20 percent (of all U.S. expatriates) by the year 2000.2The National Foreign Trade Council also estimates that approximately 225,000 Americans worked abroad in 1995, up from 125,000 in 1993. 3 As businesses try to address sexual harassment issues in their domestic workforce, they must also be more conscious of working overseas with employees, customers and vendors of many different nationalities. 4 Mitsubishi Motor Manufacturing of American Inc. has learned this lesson the hard way.On April 9, 1996, the Equal Employment Opportunity Commission (EEOC) charged that female employees at the Japanese-owned Normal, Illinois automobile factory were subject to groping, sexual graffiti and abusive comments. 5Management not only failed to address complaints but actually retaliated against the women who levied charges. 6 The EEOC broadened the suit to include not only charges filed in earlier private suits, but all female employees, past and present, who may have been harassed. 7 It estimated that as many as 700 women may have been affected by the alleged instances of harassment.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it