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Record W7126753812

Picture Books and Parrhesia: Canadian Residential Schools and Answering the TRC’s Calls to Action

2022· article· W7126753812 on OpenAlexaboutno aff
Caroline Bagelman

Bibliographic record

VenueHope's Institutional Research Archive (Liverpool Hope University) · 2022
Typearticle
Language
FieldArts and Humanities
TopicLiteracy, Media, and Education
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousGenocideColonialismAffordanceAction (physics)Indigenous educationState (computer science)Traditional knowledgeVisitor pattern
DOInot available

Abstract

fetched live from OpenAlex

Critical pedagogy grapples with the antithetical nature of education: that it can serve to both liberate and to oppress (Freire, 2000; Giroux, 2006; hooks, 1994). This comes into sharp focus within the Canadian context: while education through the residential school system was pivotal in the cultural genocide of Indigenous peoples, Indigenous peoples and the Canadian state now identify the need to educate children on this and other colonial atrocities to generate a more just telling of history, and a more just future (Niezen, 2017). This paper will consider the role of picturebooks on residential schools and other genocidal policies in this learning, and ways in which they might embody and a Foucauldian notion of parrhesia. Drawing on the author’s classroom-based practice, which involved the use of such picturebooks with both settler and Indigenous children, this article will discuss pedagogical approaches to children’s literature on atrocity, and the particular affordances of the picturebook form itself for addressing challenging subjects (Dresang, 1998).

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 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 categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.769
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
Bibliometrics0.0020.001
Science and technology studies0.0130.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.055
GPT teacher head0.277
Teacher spread0.222 · 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 teacher head, not a consensus.

Study designNot applicable
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
Published2022
Admission routes1
Has abstractyes

Explore more

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