Sexual Harassment: A Feminist Phrase that Transformed the Workplace
Bibliographic record
Abstract
This article is a first-person memoir from a co-author of the first Canadian book on sexual harassment. It attempts to recount, from one individual’s admittedly partial memory, some of the events that surrounded the early feminist efforts to eradicate sexual harassment in the workplace. It tracks the events that culminated in the publication of Constance Backhouse and Leah Cohen’s Secret Oppression: Sexual Harassment of Working (Toronto: Macmillan, 1978) and the public furor that greeted the book’s arrival. It focuses on the wider social, political, economic, and cultural context surrounding the debate over sexual harassment and tries to analyze to what extent concrete improvements arrived upon the heels of the demands for change.Cette oeuvre est seulement disponible en anglais. Un resume francais suite.Le present article est une autobiographie de la coauteure du premier ouvrage canadien sur le harcelement sexuel. Tout en admettant que ses souvenirs soient fragmentaires, elle relate certains des evenements qui ont entoure les premiers efforts feministes visant a eradiquer le harcelement sexuel en milieu de travail. L’article decrit les evenements qui ont precede la publication de l’ouvrage de Constance Backhouse et de Leah Cohen intitule The Secret Oppression: Sexual Harassment of Working Women et la fureur du public a la sortie du livre. L’article porte sur l’ensemble du contexte social, politique, economique et culturel entourant le debat concernant le harcelement sexuel et montre dans quelle mesure les changements exiges ont apporte des ameliorations concretes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.036 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".