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Record W3022165030

Archival Activism, Symbolic Annihilation, and the LGBTQ2+ Community Archive

2020· article· en· W3022165030 on OpenAlexaboutno aff
Elspeth H. Brown

Bibliographic record

VenueArchivaria (Association of Canadian Archivists) · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicHermeneutics and Narrative Identity
Canadian institutionsnot available
Fundersnot available
KeywordsLesbianQueerCollaboratoryTransgenderSociologyOral historyGender studiesArchivistSpecial collectionsMainstreamMedia studiesPolitical scienceLibrary scienceAnthropologyLaw
DOInot available

Abstract

fetched live from OpenAlex

LGBTQ2+ community archives, often founded in the 1970s and 1980s, are no longer necessarily outside the archival mainstream from the perspective of non-white, and non-cis LGBTQ2+ people. Histories of whiteness, settler-colonialism, and cisnormativity within the LGBTQ2+ community archive can create the “symbolic annihilation” of trans and Black, Indigenous, and people of colour (BIPOC) histories within the queer community archive, if left unaddressed. Our current moment requires an active reimagining of what activism means within legacy LGBTQ2+ community, activist archives. This article describes my efforts, as a volunteer and board member at the ArQuives and as the director of the LGBTQ2+ Oral History Digital Collaboratory, to help bring an intersectional, trans-inclusive framework to an LGBTQ2+ community archive with origins in Canada’s gay liberation movement. The Collaboratory is a five-year digital history research collaboration, funded by Canada’s Social Sciences and Humanities Research Council, that connects archives across Canada and the United States to produce a collaborative digital history hub for the research and study of gay, lesbian, queer, and trans oral histories. We have four archival partners: the ArQuives (formerly the Canadian Lesbian and Gay Archives); the Digital Transgender Archive; the Transgender Archives at the University of Victoria; and the Archives of Lesbian Oral Testimony. In this article, I focus on the Collaboratory’s efforts to bring trans visibility to the ArQuives’ collections. RÉSUMÉ Les archives de la communauté LGBTQ2+, souvent établies dans les années 1970 et 1980, ne se situent plus nécessairement à l’extérieur des courants archivistiques dominants du point de vue des individus LGBTQ2+ non blancs et non-cis. Les histoires blanches, colonialistes et cisnormatives dans les archives de la communauté LGBTQ2+ peuvent entraîner l’«annihilation symbolique » des histoires des trans de même que des noirs, des autochtones et des autres personnes racisées au sein des archives de la communauté queer si elles ne sont pas abordées. La situation actuelle exige que l’on s’emploie à réimaginer ce que l’activisme représente dans l’héritage des archives militantes de la communauté LGBTQ2+. Cet article décrit mes efforts en tant que bénévole et membre du conseil aux ArQuives et comme directrice du LGBTQ2+ Oral History Digital Collaboratory afin d’encourager l’adoption d’un cadre de travail intersectionnel et inclusif pour les trans dans les archives communautaires de la communauté LGBTQ2+, lesquelles trouvent leurs origines dans le mouvement de libération gaie au Canada. Le Collaboratory est un projet collaboratif de recherche en histoire numérique, subventionné par le Conseil de recherche en sciences humaines du Canada, mettant en contact des archives du Canada et des États-Unis pour créer un centre collaboratif d’histoire numérique pour la recherche et les études des histoires orales des gays, lesbiennes, queer et trans. Nos partenaires sont quatre archives : les ArQuives (anciennement les Canadian Lesbian and Gay Archives), le Digital Transgender Archive, les Transgender Archives à l’Université de Victoria, et les Archives of Lesbian Oral Testimony. Dans cet article, je mets l’accent sur les efforts du Collaboratory pour rendre les trans visibles dans les collections des ArQuives.

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)0.008
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.962
Threshold uncertainty score0.439

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.004
Science and technology studies0.0380.066
Scholarly communication0.0280.010
Open science0.0020.022
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0110.001

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.

Opus teacher head0.025
GPT teacher head0.208
Teacher spread0.183 · 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.

Study designQualitative
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

Citations14
Published2020
Admission routes1
Has abstractyes

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