MétaCan
Menu
Back to cohort
Record W4393336813 · doi:10.1080/09614524.2024.2332261

Centring intersectionality and decolonisation in an online undergraduate gender and development course in Canada

2024· article· en· W4393336813 on OpenAlex

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

VenueDevelopment in Practice · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicTourism, Volunteerism, and Development
Canadian institutionsUniversity of the Fraser Valley
Fundersnot available
KeywordsIntersectionalityGender studiesDecolonizationPolitical scienceSouth asiaCentringSociologyEconomic growthDevelopment economicsAnthropologyEconomicsEngineeringPoliticsLaw

Abstract

fetched live from OpenAlex

Despite the growing acknowledgement by development academics and educators of the need to decolonise the study and teaching of development, and to apply an intersectional gender lens to development issues, there has been little discussion and few examples of how this can be achieved in an online undergraduate gender and development (GAD) course. A scan of undergraduate GAD course syllabi from Canadian universities revealed an absence of intersectionality and decolonisation as concepts and approaches, minimal linkages between GAD theory and practice, and an uncritical focus on the UN Sustainable Development Goals (SDGs). In this practice note, I share several approaches to centre intersectionality, promote critical and decolonial perspectives, and bridge theory and practice in a newly created online course at the University of the Fraser Valley, BC, Canada. Drawing upon themes that emerged in online discussion posts and course evaluations, I also discuss students’ views.

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.528
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.051
GPT teacher head0.334
Teacher spread0.283 · 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