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Record W3024375671

Heads, Hearts, and Museums: The Unsettling Pedagogies of Kent Monkman's "Shame and Prejudice: A Story of Resilience".

2019· article· en· W3024375671 on OpenAlexaffvenue
Kay G. Johnson

Bibliographic record

VenueCanadian Journal for the Study of Adult Education · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicAdult and Continuing Education Topics
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsExhibitionShameSociologyPrejudice (legal term)Resistance (ecology)IndigenousColonialismNarrativeAestheticsIndoctrinationGender studiesPedagogyVisual artsArtIdeologyLawPolitical scienceLiterature
DOInot available

Abstract

fetched live from OpenAlex

Museums as colonial institutions are filled with the tensions and contradictions of competing discourses. This makes them complex sites of public pedagogy and informal adult education and learning. But they are also becoming important spaces of counter-narrative, self-representation, and resistance as Indigenous artists and curators intervene, and thus key spaces for settler education and truth telling about colonialism. My study inquires into the pedagogies of Cree artist Kent Monkman’s touring exhibition Shame and Prejudice: A Story of Resilience through the lens of my own unsettling as I engage autoethnographically with the exhibition. I highlight the unsettling pedagogical potentials of Monkman’s exhibition and contend that, as a site of experiential learning that challenges Euro-Western epistemologies and pedagogies with more holistic, relational, storied approaches, the exhibition offers much to unsettle and inform public pedagogy and adult education theory, practice, and research within and beyond museums.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.045
Threshold uncertainty score0.090

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0240.053
Scholarly communication0.0060.006
Open science0.0020.009
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0030.000

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 head0.016
GPT teacher head0.326
Teacher spread0.309 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations2
Published2019
Admission routes2
Has abstractyes

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Same venueCanadian Journal for the Study of Adult EducationSame topicAdult and Continuing Education TopicsFrench-language works237,207