“It’s Not the Materials Themselves, It’s the Attitude of the Donors”
Bibliographic record
Abstract
This article reports on findings from semi-structured interviews with 25 archivists and curators who work with LGBTQIA+-related collections and materials about the HIV/AIDS epidemic. Specifically, it reports on how these practitioners define and engage with ethical practices, access-based obligations, and community relations in creating and sustaining their archives. The article focuses on how participants, including practitioners from various community and institutional archives of varying size and scope across the United States, understood community accountability within their work. This emphasis on community accountability necessitated that practitioners reframe archival ethics, reconsider subjective and embodied collection and curation work, and prioritize community well-being over quantitative collection building. In response to these findings, the article identifies theoretical and practical implications for queer archives related to methods of archival production, approaches to community outreach and engagement, and the intersecting impact of these implications and approaches on questions of archival sustainability for queer and other historically marginalized histories.
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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 | 0.014 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.025 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 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".