Willful Women Creating the World: Life Stories of Feminist and Queer Activists
Bibliographic record
Abstract
This thesis documents themes from the lives of three women who have been high-profile activists in the women's and LGBTQ communities of Toronto for more than 20 years. There has been no previous major work that documents and examines their lived experiences, their social/historical contexts, and their personal resistance and political strategies. This research explores how these women have responded to multiple oppressions such as homophobia, heterosexism, sexism, racism and poverty, and used collective political action to pursue new visions, structures, and spaces for women and LGBTQ people in the public world.The research draws on multiple methodological and theoretical influences. It is guided by several strands of feminist scholarship broadly informed by the "post" traditions, including intersectionality, the attribution of willfulness, feminist world-building and queer world-making. Particular attention is given to the diverse ethno-cultural, historical and socio-economic contexts of these women's lives, and to the shaping of individual experience through Canada's history as a white-settler nation.The author employs narrative and autoethnographic writing strategies to present life histories, using the metaphor of a tree to tell each life story. Data was gathered through multiple in-depth interviews focused on significant life events, photographs/artifacts and memories. The findings are presented using an arts-informed approach that includes drawings and photographs, and aims to educate and inspire audiences both within and beyond the academy.
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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.038 | 0.032 |
| Scholarly communication | 0.012 | 0.008 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.004 | 0.007 |
| 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 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".