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Record W4327591847 · doi:10.18438/eblip30256

LGBTQIA+ Students Exhibit Differing Information Practices Based on Social Media Presence and Self-Identified Personality Type

2023· article· en· W4327591847 on OpenAlexvenueno aff
Hilary Jasmin

Bibliographic record

VenueEvidence Based Library and Information Practice · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Media and Politics
Canadian institutionsnot available
Fundersnot available
KeywordsSnowball samplingFocus groupExploratory researchPsychologyThematic analysisSocial mediaPersonalityMedical educationQualitative researchSocial psychologySociologyComputer scienceSocial scienceWorld Wide WebMedicine

Abstract

fetched live from OpenAlex

A Review of: de la Cruz, J., Winfrey, A., & Solomon, S. (2022). Navigating the network: An exploratory study of LGBTQIA+ information practices at two single-sex HBCUs. College & Research Libraries, 83(2), 278–295. https://doi.org/10.5860/crl.83.2.278 Objective –To explore the information practices of LGBTQIA+ students and the potential for academic libraries to impact or influence these practices. Design – Focus groups and individual interviews. Setting – Two single-sex Historically Black Colleges and Universities (HBCUs) in the USA. Subjects – Twenty-three (23) LGBTQIA+ students who were recruited through convenience and snowball sampling. Methods – Students from the two colleges were hired and trained as recruiters and interviewers. Twenty-three (23) total interviews on information practices were conducted—nine (9) via focus group, fourteen (14) via individual interviews. No two students participated in both a focus group and an individual interview. Question banks were drafted by the authors for the interviewers to use. Main Results – Four primary themes arose in qualitative, applied thematic analysis: Acceptance, Support, Personality, and Social Media. Acceptance was further discussed by an interviewee stating one of the colleges in the study was started by lesbians, but this is silent in the campus history. Thus, it is difficult to feel accepted on a campus with so much erasure of LGBTQIA+ history. In conjunction with Acceptance is the lack of Support from both campuses, namely in events, activities, and other affirming programming for LGBTQIA+ students. Students felt the need for more explicit, unequivocal support for LGBTQIA+ students from campus administration. Findings also suggested that Personality, namely participants’ self-identified introversion, may contribute to information deprivation due to fewer social connections and therefore less information sharing. Social Media, the final theme, was noted as the most powerful forum for information sharing for students, as well as a space to normalize LGBTQIA+ movement and visibility. Finally, students viewed the library in a traditional light, such as a study space. The reasoning for some LGBTQIA+ students rejecting the library as a safe space was unclear, though the authors hypothesize this may be due to safety while returning back to their dorms at night. Conclusion – With a paucity of research in the information practices of LGBTQIA+ students, specifically those enrolled at HBCUs, the authors concluded that continued research is needed to understand how libraries can create safety and visibility. One primary mode for this might be to make more visible that libraries are not neutral, and that supporting LGBTQIA+ students should be a priority.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.000
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 head0.054
GPT teacher head0.358
Teacher spread0.304 · 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 designObservational
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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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