Lesbian and Gay Liberation in Canada: Representing the Dyke Dynamo
Bibliographic record
Abstract
In the preface to her influential book, Lesbian images, writer for The Body Politic and person in the Lesbian and Gay Liberation in Canada (LGLC) data set, Canadian author Jane Rule stresses the importance of not reducing human experience in order to understand it. Lesbian Images, her collective biography, or prosopography, of lesbian writers therefore offers a view of the complexity of life, presenting as "many answers as there are voices to speak… for no one can comfortably dismiss all those who find a place in these pages" (1975 vi). The Lesbian and Gay Liberation in Canada project (LGLC) is using prosopography to respond to Rule's call to document the complexity of gay and lesbian lives. While prosopography has traditionally been used to uncover the averages, the norms, and the likely lives of people about whom historians have little information (for example, Roman slaves or Anglo-Saxon peasants), LGLC is taking up prosopography, not to fill in gaps or to reduce liberationists to a few statistical averages, but to develop new knowledge about how the ideas at the heart of the liberation movement, and the communities that espoused them, shaped Canadian culture.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.009 |
| Science and technology studies | 0.045 | 0.010 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 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".