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Record W4396664644 · doi:10.1002/jaal.1350

“Gender is like an ocean”: Exploring the intersections of queer literacy research and teaching through filmmaking

2024· article· en· W4396664644 on OpenAlex
Rob Simon, Pamela Baer, Ty Walkland

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.

Bibliographic record

VenueJournal of Adolescent & Adult Literacy · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicLiteracy, Media, and Education
Canadian institutionsVector InstituteUniversity of Toronto
Fundersnot available
KeywordsQueerFilmmakingTRACE (psycholinguistics)LiteracySociologyIdentity (music)Representation (politics)PedagogyCritical literacySexual identityThe artsGender studiesVisual artsMathematics educationPsychologyArtAestheticsPolitical sciencePoliticsMovie theaterHuman sexuality

Abstract

fetched live from OpenAlex

Abstract In this article, we revisit the co‐creation of a 45‐min film, Gender is Like an Ocean , produced with middle school students in response to Kirstin Cronn‐Mills's young adult novel Beautiful Music for Ugly Children . The making of this film brought together collaborative inquiry and arts creation. Drawing on the work of critical literacy educators as well as scholars in queer and trans studies, we trace students' participation in the process of co‐creating this film through three critical moments, which map their inquiries into gender identity and representation and our own attempts to learn alongside them.

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 categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.504
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0020.005
Open science0.0000.000
Research integrity0.0000.001
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 head0.153
GPT teacher head0.386
Teacher spread0.233 · 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