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Record W1630927443 · doi:10.26181/29397428

Opening the Cache of Canadian Secrets: The Residential School Experience in Books for Children

2007· article· en· W1630927443 on OpenAlexaffabout
Brianne Grant

Bibliographic record

VenueOpen MIND · 2007
Typearticle
Languageen
FieldArts and Humanities
TopicThemes in Literature Analysis
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsColonialismIdeologyHumanityHistorySociologyMedia studiesLawPoliticsPolitical scienceArchaeology

Abstract

fetched live from OpenAlex

The term 'Post-colonialism' assumes that we have finished with colonialism, and tends to place it in the distant past along with the conflicted British and French settlers from centuries ago. In fact, colonialism maintains a robust and healthy life in the minds and culture of Canada. The residential school system remained in place until the 1980's, and its icy grip continues to choke at the hearts of many aboriginal communities. This part of our history is largely ignored in education programs and books for children. Our interpretations of history continue to shape our existence and our future; therefore, it is essential that we humbly accept and explore the brutalities of Canadian history, humanity, and the repercussions they have today. Children's literature, particularly, has a responsibility to present historically accurate, culturally authentic and socially just works. Children inherit this country and the world; therefore, they must know the ideologies and actions of the pas...

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)0.008
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 score0.094
Threshold uncertainty score0.443

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.006
Science and technology studies0.0430.022
Scholarly communication0.0130.005
Open science0.0020.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0130.001

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 head0.049
GPT teacher head0.301
Teacher spread0.252 · 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
Published2007
Admission routes2
Has abstractyes

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Same venueOpen MINDSame topicThemes in Literature AnalysisFrench-language works237,207