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Record W4407097612 · doi:10.1386/eme_00216_7

Teaching and learning with Indigenous-centred comic books in the media ecology classroom

2024· article· en· W4407097612 on OpenAlex
Brandon P. Hollingshead

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

VenueExplorations in Media Ecology · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Games and Media
Canadian institutionsToronto Metropolitan UniversityYork University
Fundersnot available
KeywordsComicsIndigenousSociologyEcologyMedia ecologyAnthropologyMedia studiesArtBiologyLiterature

Abstract

fetched live from OpenAlex

In Understanding Media , Marshall McLuhan wrote about comic books and called for further exploration of the medium’s expression of cultural change. This article takes up McLuhan’s call in the context of teaching and learning with Indigenous-centred comic books. Linking theories from media ecology, communication studies and cultural studies with Indigenous and decolonizing pedagogies, the article provides teaching and learning strategies, suggested readings, and assignments and activities for centring Indigenous perspectives and diversifying representation in the media ecology classroom. Readings and activities are on the topic of repatriating Indigenous remains and cultural objects, but the structure of the assignments can accommodate any number of topics.

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)0.001
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 score0.385
Threshold uncertainty score0.723

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.026
GPT teacher head0.283
Teacher spread0.257 · 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