On Developing a Muslim Women's Resistance Collective
Bibliographic record
Abstract
This presentation explicates the findings from my doctoral research project entitled “Politics of Epistemological Resistance & Feminist Solidarity: On Canadian Muslim Women's Collective Political Subjectivities Twenty Years after 9/11. In this feminist community-based project, I brought together a group of Muslim women activists in Windsor-Essex to investigate how gendered Muslim subjects in Canada develop and articulate political subjectivities and collectives of resistance to anti-Muslim racism. My research questions are: Twenty years after 9/11, how do Muslim women understand and articulate their political subjectivities? What is the power of developing a feminist collective of resistance? As an innovative piece of research conducted at an unusual sociopolitical time, this research extends the body of existing literature on gender and anti-Muslim racism in Canada by not only considering the importance of collective-building to the work of women's organizing around anti-Muslim racism but actually works to create and nurture that collective in order to embody the spirit, principles, and social change objectives deemed important to the Muslim women activists themselves.
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 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 | 0.008 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.047 | 0.035 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.012 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".