From “I’m not a feminist!” to CASWE President: Reflecting on Space(s), Time(ing), and His(Her)-Story
Bibliographic record
Abstract
For this personal narrative, I have used Applebaum and Boyd’s (2000) work on developing a critical sense of dominance to detail my journey of initial resistance to being labeled a feminist, to my growing recognition of power and privilege within educational institutions, to my active role as president of the Canadian Association for the Study of Women in Education (CASWE) for the Canadian Society for the Study of Education (CSSE). I illustrate how working within a system does not negate the potential for a critical engagement with hegemonic practice, but can actually posi- tion feminists, or associations such as CASWE, in spaces to work authentically to- wards equity. Key words: feminism, educational leadership, critical sense of dominance, personal narrative Dans ce récit personnel, l’auteure se sert des travaux d’Applebaum et Boyd (2000) sur le développement d’un sentiment critique de dominance en vue de décrire son cheminement, depuis sa résistance initiale à l’étiquette de « féministe » à son appré‐ ciation grandissante du pouvoir et des privilèges au sein d’établissements d’enseignement et à son rôle actif comme présidente de l’Association canadienne pour l’étude sur les femmes et l’éducation (ACÉFÉ). Elle montre comment le fait de travailler à l’intérieur d’un système n’exclut pas la possibilité d’un engagement criti‐ que vis‐à‐vis d’une pratique hégémonique, mais peut effectivement placer des féministes ou des associations comme l’ACÉFÉ en position favorable pour travailler vraiment à la défense de l’équité. Mots clés : féminisme, leadership en éducation, sentiment critique de dominance, récit personnel.
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.033 | 0.036 |
| Scholarly communication | 0.013 | 0.012 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.011 |
| Insufficient payload (model declined to judge) | 0.005 | 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".