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Decolonizing the Higher Education Curriculum: An Evaluation of Incorporating Indigenous Ways of Knowing and Pedagogy

2024· article· en· W4396679733 on OpenAlexaffvenueabout
Lindsey Jaber, Cynthia Stirbys, Christina Saint-Cyr

Bibliographic record

VenueThe Canadian Journal for the Scholarship of Teaching and Learning · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicFrench Language Learning Methods
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

This study employed a quasi-experimental, mixed-methods design utilizing a two-eyed seeing approach that foregrounds Indigenous principles of respect, reciprocity, relevance, and responsibility (Kirkness & Barnhardt, 2001). With the focus of creating community in the higher education classroom, the curriculum was designed to enhance Indigenous values of interpersonal connection, collaboration, and interdependence. In support of fostering Indigenous ways of knowing, a Knowledge Holder worked with the researchers on curriculum design and delivery. The Indigenous curriculum is presented in detail. A total of 92 students in the Bachelor of Social Work program at a southwestern Ontario university participated in the study. Overall, quantitative and qualitative results suggested that the Indigenous pedagogy was associated with increased students’ satisfaction and connectedness to the material and their peers, and greater self-reflection.

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)0.011
metaresearch head score (Gemma)0.019
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.998
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.019
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.116
GPT teacher head0.423
Teacher spread0.307 · 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

Citations4
Published2024
Admission routes3
Has abstractyes

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Same venueThe Canadian Journal for the Scholarship of Teaching and LearningSame topicFrench Language Learning MethodsFrench-language works237,207