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Record W2900040192 · doi:10.23860/jmle-2018-10-03-08

Empowering Indigenous Learners through the Creation of Graphic Novels

2018· article· en· W2900040192 on OpenAlex
Deborah L. Begoray, Alexis Brown

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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Media Literacy Education · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicLiteracy, Media, and Education
Canadian institutionsUniversity of Victoria
FundersCanadian Institutes of Health Research
KeywordsIndigenousComicsMedia literacyComprehensionThe artsConfusionNarrativeLiteracyPedagogyPsychologySociologyMedical educationMedicineVisual artsComputer scienceArtLiterature

Abstract

fetched live from OpenAlex

In this paper, we examine how Indigenous and non-Indigenous adolescents identify media influences as health/wellness related. We conducted research over a six-week period in two alternative high school settings: a culture-based Indigenous education program at one school and an arts-based program at another school, both in the same small, Western Canadian city. We taught students from both programs the principles of critical media health literacy. Small groups of students from the Indigenous program wrote narratives. Then small groups of Indigenous and non-Indigenous students in an arts-based education program converted these stories into graphic novel/comic book format. Findings indicated a broad range of health/wellness topics discussed, media stereotypes challenged, and varying levels of comprehension about media’s impact on health. These levels ranged from misunderstanding or confusion through developing general understanding and, at the highest level, specific understanding.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.355
Threshold uncertainty score0.690

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 studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.023
GPT teacher head0.318
Teacher spread0.295 · 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