Bibliographic record
Abstract
This chapter explores the challenges of oral history work within the lesbian/queer communities of western Canada. It grapples with questions of consciousness and identity formation and provides valuable perspectives on the methodological and theoretical challenges sexualities historians face when historicising women who loved, lived, or had sex with women. Drawing upon extensive research and oral history collections within prairie gay and lesbian communities, the chapter provides an overview of how the many layers of identity politics, varying “labels”, notions of visibility, and issues of framing histories that honour those who spoke, and those who chose to remain silent, were negotiated throughout the research project and, ultimately, in publications derived from this work. Ultimately, the talkers triumph. Their histories predominate, their voices are strong, and their stories resonate. This chapter is an abridged version of an essay that originally appeared in Beyond Women’s Words: Feminisms and the Practice of Oral Histories in the 21st Century (Routledge, 2018).
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.268 | 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 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".