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Record W7038843103

“It’s Not the Materials Themselves, It’s the Attitude of the Donors”: The Role of Community Accountability in the Sustainability of Queer Archives

2024· article· en· W7038843103 on OpenAlexvenueno aff

Bibliographic record

VenueArchivaria · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicDigital and Traditional Archives Management
Canadian institutionsnot available
Fundersnot available
KeywordsQueerCognitive reframingAccountabilityOutreachScope (computer science)SustainabilityWork (physics)Community engagement
DOInot available

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.021
metaresearch head score (Gemma)0.028
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.127
Threshold uncertainty score0.253

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0210.028
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0210.029
Scholarly communication0.0110.007
Open science0.0010.006
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.030
GPT teacher head0.249
Teacher spread0.219 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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