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Record W4388680331 · doi:10.4236/adr.2023.114025

An Examination of Children’s Artworks from Canadian Indigenous Residential Schools

2023· article· en· W4388680331 on OpenAlexaffabout
Joanna Black

Bibliographic record

VenueArt and Design Review · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicArt Education and Development
Canadian institutionsUniversity of ManitobaGovernment of Manitoba
Fundersnot available
KeywordsIndigenousInterpretation (philosophy)OppressionResidential schoolCommissionFace (sociological concept)SociologyPoliticsColonialismVisual artsMedia studiesGender studiesPsychologyPolitical scienceSocial scienceArtLawLinguistics

Abstract

fetched live from OpenAlex

Residential school students within Canadian schools created imagery that was recently collected by the National Truth and Reconciliation Commission (NTRC). Five works were selected from numerous artworks archived. Compositional interpretation and discourse analysis were employed in this study. Using art as historical recovery, it was found that these cultural artifacts provided records of the children as witnesses regarding their experiences at residential schools. Additionally, these visual pictures reveal these young students’ personal lives, and emotional, political, and societal perspectives. In this research, the images allow viewers to comprehend this historical period full of struggle and allow these cultural artifacts to be communicated to future viewers. Finally, the findings reveal these indigenous children communicated both joy in nature and discourse of powerlessness and oppression by nonindigenous peoples in the face of Canadian colonialism.

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)0.003
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 score0.125
Threshold uncertainty score0.252

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0110.012
Science and technology studies0.0090.005
Scholarly communication0.0040.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.038
GPT teacher head0.261
Teacher spread0.223 · 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

Citations0
Published2023
Admission routes2
Has abstractyes

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