Bibliographic record
Abstract
The ArQuives: Canada’s LGBTQ2+ Archives is one of the world’s largest and longest standing 2SLGBTQ+ community archives. A case-study exploration of its history shows how the act of preserving queer and trans histories builds cultural capital, while its location in Toronto offered the potential of leveraging independent print media outlets as a forum for negotiating the creation of 2SLGBTQ+ spaces of memory. A recent collection analysis, however, demonstrated a striking imbalance in its representation of Canada’s diversity. To address these historical inequities, The ArQuives launched a multi-pronged strategy to guide the revitalization and diversification of its institutional values, collections, and mandate providing a template for engaging in liberatory memory work. [This article is an expansion of a paper presented at the 52nd annual ARLIS/NA conference held in Pittsburgh, Pennsylvania, in April 2024 as part of the session “Queer Pasts & Futures: Exploring Queer Identity in Art Librarianship.”]
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 | 0.008 | 0.033 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.025 | 0.008 |
| Scholarly communication | 0.014 | 0.007 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.006 | 0.015 |
| Insufficient payload (model declined to judge) | 0.127 | 0.031 |
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".