MétaCan
Menu
Back to cohort
Record W4412885061 · doi:10.58680/rte2025593311

“That Poem Was Pretty Wild to Me”: On Personal Safety and Precarious Moments in Teacher Candidates’ Responses to Sexual Assault Narratives

2025· article· en· W4412885061 on OpenAlexaffabout
Amber Moore

Bibliographic record

VenueResearch in the Teaching of English · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicCritical Race Theory in Education
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsNarrativePoetrySexual assaultPsychologyGender studiesHuman sexualityRacial biasCriminologySocial psychologyPedagogySociologyLiteratureSuicide preventionPoison controlArtRace (biology)Medicine

Abstract

fetched live from OpenAlex

Please note that some discussions of domestic, sexual, and racial violence are included in this article. This article explores how teachers and students in a teacher training program constructed precarious moments by engaging with sexual assault literature and pedagogy that centers rape culture and sexual trauma. In this qualitative feminist study, 23 participants took up readings of a sexual trauma text set and responded to pedagogy for teaching such texts with adolescent students in the Canadian K-12 public school system. A focal aim of this project is to think ahead to how teachers in training might cultivate radical communities prepared to address the pervasiveness of sexual assault and the insidiousness of rape culture in the secondary English classroom. As such, the ways in which teacher candidates’ experiences of and witnessing precarious personal safety, as well as how precarious moments impacted their attitudes toward considering this pedagogy in particular, are analyzed.

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)0.005
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.019
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0170.017
Scholarly communication0.0060.005
Open science0.0010.006
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0040.001

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 head0.067
GPT teacher head0.466
Teacher spread0.399 · 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 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

Citations0
Published2025
Admission routes2
Has abstractyes

Explore more

Same venueResearch in the Teaching of EnglishSame topicCritical Race Theory in EducationFrench-language works237,207