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Record W2074428433 · doi:10.1080/13664530701194728

Transforming pedagogies: pre‐service reflections on learning and teaching in an Indigenous world

2007· article· en· W2074428433 on OpenAlexaff
Michele Tanaka, Lorna Williams, Yvonne J. Benoit, Robyn K. Duggan, Laura Moir, J. Scarrow

Bibliographic record

VenueTeacher Development · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous and Place-Based Education
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsService-learningIndigenousContext (archaeology)Cognitive dissonancePedagogyPersonal developmentNarrativeSociologyAnticipation (artificial intelligence)PsychologySocial psychologyGeography

Abstract

fetched live from OpenAlex

Through personal narratives, pre‐service teachers recount their experiences from a course based in Indigenous pedagogy within the Faculty of Education at the University of Victoria. These narratives were drawn from the assigned daily reflection journals of pre‐service teachers. They highlight how their personal understandings of teaching and learning were transformed. In the context of a Lekwungen and Liekwelthout pole carving course, they developed a deep understanding of the Indigenous concepts of Celhcelh—the development of a sense of responsibility for personal learning within the context of a learning community; Kat’il’a—the act of becoming still—slowing down, despite an ingrained and urgent need to know and desire for busy‐ness; Cwelelep—the discomfort and value of being in a place of dissonance, uncertainty and anticipation; and Kamucwkalha—the energy current that indicates the emergence of a communal sense of purpose. The writers share their personal reflections of these concepts and how they affected their views of teaching and learning.

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)0.008
metaresearch head score (Gemma)0.017
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.017
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0350.036
Scholarly communication0.0110.007
Open science0.0030.013
Research integrity0.0060.019
Insufficient payload (model declined to judge)0.0050.001

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 head0.071
GPT teacher head0.417
Teacher spread0.346 · 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

Citations28
Published2007
Admission routes1
Has abstractyes

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