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High-stakes Recordkeeping and Relationality: Conversations from the Sex Work Activist Histories Project

2024· article· en· W4400279895 on OpenAlexaffvenueabout
Danielle Allard, Shawna Ferris, Amy Lebovich, Jenn Clamen, Micheline Hughes

Bibliographic record

VenueCanadian Journal of Information and Library Science · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicEducation, sociology, and vocational training
Canadian institutionsProfessional Engineers OntarioUniversity of ManitobaUniversity of Alberta
Fundersnot available
KeywordsWork (physics)Sex workSociologyGender studiesEngineeringBiology

Abstract

fetched live from OpenAlex

The Sex Work Activist Histories Project (SWAHP) is an interdisciplinary research and recordkeeping initiative to record and disseminate the radical knowledges, activist expertise, and important social movement histories created by activists connected to the Canadian sex worker rights movement. This paper explores how stakeholders of SWAHP work together ethically, and maintain good relations with each other when engaging in what we call high-stakes recordkeeping. Our discussions consider both the divergences or differences between academic and non-academic project partners, our convergence or common ground, and the bridges we have built between academic and non-academic concerns and practices to establish and develop methodologies and practices that inform SWAHP’s ongoing collaborations and sex-work activist histories, archives, and related activisms. We consider how to be mutually accountable to our varied and complex analytical and affective positionalities in the specific context of working ethically and relationally in high-stakes recordkeeping. We conclude by considering the relevance of these lessons to other contexts of community-led archiving and research. This paper is a lightly edited transcript of the speaker notes from a 2021 CAIS/ACSI (Allard, Ferris, Lebovitch, Clamen, and Hughes, 2021) panel presentation. Project partners are identified individually in their article sections to share, highlight, and preserve what is unique about each project partners’ perspective and voice, and to make explicit how we work together.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.674
Threshold uncertainty score0.941

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0010.006
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.093
GPT teacher head0.338
Teacher spread0.245 · 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 teacher head, 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 routes3
Has abstractyes

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