Differences in the Response of Women's Voluntary Organizations to Shifts in Canadian Public Policy
Bibliographic record
Abstract
Executive directors of 351 women's voluntary organizations and 294 `other' (gender neutral) organizations were surveyed to gauge their responses to changing public policy in Canada. Findings indicate that although all organizations are unhappy with the current environmental shifts and pessimistic about the future, women's organizations are more critical of policy changes and their implementation. They also feel more vulnerable and pessimistic about the future. Strategically, they are less likely to adopt a business-like competitive orientation, focusing more on fostering cooperation and collaboration. These findings support evidence in the literature that suggests that women's organizations seek solutions that are more consistent with a collaborative model than a competitive one. They also underline that women's organizations, often serving more marginal niches, have unique concerns and thus respond differently to environmental changes. Furthermore, the data suggest that both ideological orientation and organizational composition may play a role in differentiating between women's and other organizations.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| 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".