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Record W4214946860 · doi:10.1080/10476210.2022.2044770

Creating a canon for change: how teacher candidates demonstrate readiness to reckon with rape culture through reading trauma literature

2022· article· en· W4214946860 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueTeaching Education · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicSexual Assault and Victimization Studies
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsSet (abstract data type)Reading (process)LiteracyAction (physics)Resistance (ecology)PedagogyPsychologyMathematics educationSociologyPolitical scienceComputer science

Abstract

fetched live from OpenAlex

This paper explores how teachers in training co-created a canon of texts for teaching about trauma issues, including sexual violence. This paper represents a piece of a larger feminist study where 23 teacher candidate participants took up readings in a sexual trauma text set and responded to pedagogy for teaching such texts with Canadian adolescent literacy learners. Overall, the data strongly indicated that many participants prioritized promoting social action in their emerging pedagogies, including anti-rape efforts. Discourses of readiness to combat rape culture especially surfaced, signalling that overwhelmingly, participants were authoring themselves as educators who prioritize creating community and enacting resistances to oppressions in some way. As such, a key finding examined in this paper was how participants collectively built on the initial corpus of trauma texts in the study’s text set that they advocated for or planned to teach in their future education careers.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.587
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.000
Scholarly communication0.0000.001
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 head0.049
GPT teacher head0.375
Teacher spread0.326 · 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