“I Believe in Human Rights, Not Women's Rights”: Women and the Human Rights State, 1969 1984
Bibliographic record
Abstract
The following article challenges the assumption that human rights legislation promoted gender equality. International human rights treaties have established new standards for human rights, but it is at the local level at which the battle for human rights is won or lost. Historians of social movements are ideally placed to challenge the statist and legalistic assumptions dominating the current literature on human rights. Statists, in looking to the state to solve human rights violations, essentially advocate an increase in the power of states. Such an approach can be misleading if the obligation to deal with human rights issues lies with agencies lacking the power to solve the problems. In the case of British Columbia, Canada, human rights legislation proved a weak vehicle for advancing gender equality. This article is divided into two sections: the first part explores contrasting strategies for change within the women's movement, while the second part evaluates the success of the human rights state in light of feminists' objectives. As a locus of activism in Canada by the seventies—with the first gay-rights organizations and parades, the most radical feminist organizations, and the home of Greenpeace and dramatic student protests, as well as the most progressive human rights legislation in the country—British Columbia offers an ideal case study for examining the intersection of human rights discourse with feminist activism.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.012 | 0.023 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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".