Micro-Cohorts, Feminist Discourse, and the Emergence of the Toronto SlutWalk
Bibliographic record
Abstract
In January 2011, Toronto activists reacted to a comment by a local police officer who equated women’s “slutty” dress with the probability of sexual assault. A group of women responded by planning a “slut walk” protesting what they termed “sexual profiling” and “slut shaming.” In a short period of time, the tactic of slut walks literally spread throughout the world. The article examines the rise of slut walks and their rapid spread. By focusing on the initial Toronto protest, it argues that the slut walk is an emerging micro-cohort within contemporary feminism. Through an analysis of the Toronto SlutWalk, the article proposes that along with structural factors, the discursive legacy of feminism contributed to the rise of this micro-cohort. That legacy includes the anti-victim–blaming focus of Take Back the Night, an emphasis on reclaiming language, and the aftermath of the feminist sex wars. It then draws on critiques of slut walks to illustrate the multiplicity and vibrancy of micro-cohorts within North American feminism.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| 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".