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Record W4405013714 · doi:10.56397/jare.2024.11.07

Right in Front of Our Eyes: The Hidden Curriculum and the Role of School-Based Practices on Violence Against Indigenous Women

2024· article· en· W4405013714 on OpenAlexaffabout
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Bibliographic record

VenueJournal of Advanced Research in Education · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicEducator Training and Historical Pedagogy
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsIndigenousCurriculumChristian ministryPolitical scienceIndigenous educationMovement (music)SociologyGender studiesCriminologyPedagogyLaw

Abstract

fetched live from OpenAlex

As Indigenous issues begin to become an increasingly bigger part of the Canadian education system, the terms of their participation become a contentious issue amongst educators, especially in the wake of a human rights crisis (the Missing and Murdered Indigenous Women and Girls Movement). This paper explores the history of Indigenous education in Canada, the Missing and Murdered Indigenous Women and Girls movement, and the hidden curriculum in British Columbia’s Social Studies and Careers curriculum. Through a detailed analysis of the curriculum outlined by the British Columbian Ministry of Education, this paper aims to apply both traditional and modern educational theories to evaluate the effects of the education system upon both indigenous and non-indigenous students regarding the Missing and Murdered Indigenous Women and Girls movement. Based on its conclusions, the paper offers policy recommendations and further predictions on how the education system is expected to change in the near future.

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 score0.721
Threshold uncertainty score0.562

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0140.016
Scholarly communication0.0060.002
Open science0.0020.007
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.064
GPT teacher head0.475
Teacher spread0.411 · 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
Published2024
Admission routes2
Has abstractyes

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