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Record W4403433729 · doi:10.1002/pra2.1071

The Role of the Practitioner in Curating <scp>LGBTQIA</scp>+ Safe Spaces in Libraries

2024· article· en· W4403433729 on OpenAlexaff
Cameron M. Pierson, Travis L. Wagner

Bibliographic record

VenueProceedings of the Association for Information Science and Technology · 2024
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsWorld Wide WebBusinessInternet privacyComputer science

Abstract

fetched live from OpenAlex

ABSTRACT The LGBTQIA+ community has come under increasing hostility in the North America through policy and challenges to library holdings and funding. These challenges to professional jurisdiction have prompted renewed scrutiny of the library‐as‐institution's responsibility toward society and the LGBTQIA+ community specifically. Safe spaces for this community remains a nebulous and contested concept. This paper reports preliminary findings of conceptualizations of LGBTQIA+ safe spaces in scholarly and practitioner literature in library and information science. Undertaking a critical literature review, this work outlines conceptualizations of the librarian's role in cultivating safe spaces and contrasts the theme of safe spaces as consisting of in‐group safe spaces. This paper collocates discussions of sociocultural contexts informing the ideas within literature alongside critical appraisals of and tensions with lived experience of queer folks. Surfaced is the gap between the two bodies of knowledge and conceptual and practice‐oriented approaches to reduce this gap.

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)0.057
metaresearch head score (Gemma)0.048
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: none
Teacher disagreement score0.057
Threshold uncertainty score0.301

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0570.048
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.004
Science and technology studies0.0420.070
Scholarly communication0.0330.018
Open science0.0030.023
Research integrity0.0060.010
Insufficient payload (model declined to judge)0.0060.001

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 head0.009
GPT teacher head0.291
Teacher spread0.282 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of the Association for Information Science and TechnologySame topicLGBTQ Health, Identity, and PolicyFrench-language works237,207