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Record W4411986872 · doi:10.24124/2025/30496

Safeties: multiple ways of thinking/feeling/being safe: Explored through arts-based research

2025· dissertation· en· W4411986872 on OpenAlexafffund

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsUniversity of Northern British Columbia
FundersUniversity of Northern British Columbia
KeywordsFeelingThe artsPsychologyComputer scienceAestheticsHuman–computer interactionCognitive scienceVisual artsArtSocial psychology

Abstract

fetched live from OpenAlex

,This research incorporated qualitative arts-based research to determine the perceptions of safety from nine female students attending the University of Northern British Columbia. The participants were invited to attend a focus group discussion on women’s safety. Based on that discussion, the women created art to showcase their perceptions of safety. The art was displayed a month later, and the local community was invited to view it and comment, sharing their thoughts and feedback. Several common themes emerged, including how safety is expressed externally and felt internally, what safe spaces look like, and the dangers that exist threatening feelings of safety. The participants in this research stated that safety involves feeling authentic and true to oneself, feeling calm and safe, living in a welcoming and predictable environment, feeling accepted and respected, and being protected from harm. The women's perceptions of safety in this research were gathered, and an alternate definition of safety was created that encompassed their thoughts and beliefs. This research showcased that while many themes connect women’s perceptions of safety, ultimately, safety is uniquely experienced by each person.

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)0.018
metaresearch head score (Gemma)0.033
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.747
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0180.033
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.863
GPT teacher head0.688
Teacher spread0.175 · 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.

Study designTheoretical or conceptual
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
Published2025
Admission routes2
Has abstractyes

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