LINDA M. MORRA, Unarrested Archives: Case Studies in Twentieth-Century Canadian Women’s Authorship
Bibliographic record
Abstract
LGBTIQ e-books comes from populations that have poor access to LGBTIQ print books owing to lack of local library resources or safety and privacy concerns (p.218).As Wexelbaum acknowledges in her introduction and conclusion, a volume like Queers Online can only provide "a mere snapshot of existing projects, and a hint of what could come in the future" (p.2).Despite the difficulties of addressing a subject that propagates such sprawling and divergent concerns, Queers Online offers professionals and scholars in archives and libraries an accessible and engaging look at the challenges and opportunities faced by LGBTIQ information seekers and providers in the digital age.The book delivers a lucid assessment of the situation as it stands, a detailed look at the work currently being done, and recommendations for best practices that are broadly applicable and, in many cases, urgently needed.
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.035 | 0.009 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 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".