Feminism and Women's Health Professions in Ontario
Bibliographic record
Abstract
Historically, prevailing gender ideologies were an important element in both the exclusionary strategies employed by male occupational groups and the countervailing responses by female groups. The way in which evolving gender ideologies, and feminism in particular, influence the continuing struggle for greater status and recognition by female professions, however, remains to be fully explored. In this paper, we examine the impact and the role of feminism and feminist ideologies within three female professional projects: nursing, dental hygiene and midwifery in Ontario. We argue that feminism provides an ideology of opposition that enables leaders in these professions to battle against professional inequalities by laying bare the gender inequalities that underlie them. Framing their struggles in feminist terms, female professions also seek recognition for the uniquely female contribution they make to the health care division of labour. At the same time, there exists a tension between ideals of feminism and ideals of professionalism, that has the potential to undermine female professional projects.
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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 | 0.010 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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 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".