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Record W3175531126 · doi:10.24908/pceea.vi0.14909

THE IMPACT OF INDIGENOUS KNOWLEDGES AND PERSPECTIVES IN ENGINEERING EDUCATION: ONE STUDENT’S STORY

2021· article· en· W3175531126 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.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueProceedings of the Canadian Engineering Education Association (CEEA) · 2021
Typearticle
Languageen
FieldEngineering
TopicEngineering Education and Curriculum Development
Canadian institutionsUniversity of Manitoba
FundersUniversity of Memphis
KeywordsNarrativeIndigenousSpace (punctuation)PedagogyEngineering educationSociologyQualitative researchNarrative inquiryEngineering ethicsEngineeringPsychologyMathematics educationSocial scienceArtEngineering managementLiteratureComputer scienceEcology

Abstract

fetched live from OpenAlex

A qualitative narrative study was designed to examine the impact on students’ learning when an Elder came to speak to students in a Technology, Society and the Future course in the Price Faculty of Engineering at the University of Manitoba. This study accounts for one student’s story as heard through an open-ended narrative interview facilitated by a team of researchers, and restoried into a problem-solution narrative structure. The preliminary findings highlight the impact of the Elder’s teachings on the student, the importance of Indigenous People’s Knowledges and perspectives in engineering education, and the importance of making space for students to reflect on these learnings.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.292
Threshold uncertainty score0.918

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.007
GPT teacher head0.223
Teacher spread0.216 · 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