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Record W4283372246 · doi:10.1177/17577438221108258

Addressing structural violence and systemic inequities in education: A qualitative study on Indigenous youth schooling experiences in Canada

2022· article· en· W4283372246 on OpenAlex
Amanda Claudìa Wager, Jeffrey Ansloos, Rachel Thorburn

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePower and Education · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Development and Social Support
Canadian institutionsUniversity of TorontoVancouver Island University
Fundersnot available
KeywordsIndigenousIndigenous educationCurriculumQualitative researchSociologyContext (archaeology)PedagogyStructural violenceCritical theoryGender studiesPolitical scienceSocial sciencePoliticsGeography

Abstract

fetched live from OpenAlex

In this qualitative study we demonstrate the critical ways that Indigenous youth experience structural violence and systemic inequities in the context of education. In particular, this youth-engaged study explores three key themes regarding (1) the social ecologies of education, (2) curriculum, and (3) pedagogy. Considerations of how these issues factor substantially in Indigenous young peoples’ experiences of education in Canada are explained. The implications of our study point towards concrete changes needing to be addressed in the field of education to ensure that every student is reflected in the educational curriculum and supported to meet the needs of succeeding in a colonized world while still upholding Indigenous rights, traditions, identities and values.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.280
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.052
GPT teacher head0.372
Teacher spread0.320 · 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