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Record W4396962973 · doi:10.26689/jcer.v8i4.6829

Metamorphoses of the University and the Pathways of Indigenous Students in Quebec: Issues of Accessibility to Studies and Academic Persistence from a Perspective of the Decolonization of Education — A Secondary Publication

2024· article· en· W4396962973 on OpenAlexaffabout
Jean-Luc Ratel, Annie Pilote

Bibliographic record

VenueJournal of Contemporary Educational Research · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversité LavalUniversité du Québec à Montréal
Fundersnot available
KeywordsPersistence (discontinuity)IndigenousPerspective (graphical)DecolonizationSociologyPedagogyPolitical scienceEcologyBiologyEngineeringLawComputer science

Abstract

fetched live from OpenAlex

In connection with the historical context of social segregation and the assimilative aim of formal education imposed on them, the Indigenous Peoples of Québec have long been excluded from higher education. Today, even if their graduation rates are increasing, a persistent gap with the non-Indigenous population is maintained. The data in this article are drawn from 23 interviews with students and university graduates of the First Nations of Québec, as part of a thesis in educational sciences. Our paper analyzes how these students manage to combine the contributions of Indigenous education with those of Western education by developing paths that are part of the decolonization movement of education. Their relationship to Indigenous identity and cultures clearly influences their educational background and is analyzed taking into account power relations with the dominant culture. Our paper emphasizes more particularly the relationship to studies, the adaptation to the student profession, and the balance between studies, work, and family among Indigenous students, in a context of transition from university to multiversity which contributed to the increase of Indigenous university attendance.

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 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)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.492
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
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 head0.115
GPT teacher head0.420
Teacher spread0.305 · 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 teacher head, not a consensus.

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

Citations1
Published2024
Admission routes2
Has abstractyes

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