Feminist community research : case studies and methodologies
Bibliographic record
Abstract
1 Unpacking Relationships in Feminist Community Research: Cross-Cutting Themes / Wendy Frisby and Gillian Creese 2 Community Research from a Post-Colonial Feminist Perspective: Exemplars from Health Research in Canada and India / Joan M. Anderson, Koushambhi Basu Khan, and Sheryl Reimer-Kirkham 3 Feminist Demands, Dilemmas, and Dreams in Introducing Participatory Action Research in a Canada-Vietnam Capacity-Building Project / Leonora C. Angeles 4 Travels with Feminist Community-Based Research: Reflections on Social Location, Class Relations, and Negotiating Reciprocity / Shauna Butterwick 5 Voices from the Street: Sex Workers' Experiences in Community-Based HIV Research / Jill Chettiar, Mark W. Tyndall, Katharine Chan, Devi Parsad, Kate Gibson, and Kate Shannon 6 Working across Race, Language, and Culture with African and Chinese Immigrant Communities / Gillian Creese, Xin Huang, Wendy Frisby, and Edith Ngene Kambere 7 Tangled Nets and Gentle Nettles: Negotiating Research Questions with Immigrant Service Organizations / Tara Gibb and Evelyn Hamdon 8 Challenging Policies for Lone Mothers: Reflections on, and Insights from, Longitudinal Qualitative Interviewing / Penny Gurstein, Jane Pulkingham, and Silvia Vilches 9 White Cowboy, Black Feminism, Indian Stories / Paul Kershaw 10 Inside and Outside of the Gates: Transforming Relationships through Research / Ruth Elwood Martin, Kelly Murphy, and Marla J. Buchanan 11 Living an Ethical Agreement: Negotiating Confidentiality and Harm in Feminist Participatory Action Research / Colleen Reid, Pamela Ponic, Louise Hara, Robin LeDrew, Connie Kaweesi, and Kashmir Besla 12 Capacity Building Is a Two-Way Street: Learning From Doing Research within Aboriginal Communities / Colleen Varcoe, Helen Brown, Betty Calam, Marla J. Buchanan, and Vera Newman 13 Reflections: Promises and Limits of Feminist Community Research / Gillian Creese and Wendy Frisby Index
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 | 0.034 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.008 |
| Science and technology studies | 0.015 | 0.012 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.004 | 0.011 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.015 | 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".