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Record W2121607848 · doi:10.55016/ojs/ajer.v55i1.55271

Awareness, Discovery, Becoming, and Debriefing: Promoting Cross-Cultural Pedagogical Understanding in an Undergraduate Education Program

2009· article· en· W2121607848 on OpenAlexvenueaboutno aff
Ingrid Johnston, Terry Carson, George Richardson, Dwayne Donald, John L. Plews, Mijung Kim

Bibliographic record

VenueAlberta Journal of Educational Research · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicEducator Training and Historical Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsDebriefingPsychologyPedagogyMedical educationMathematics educationSocial psychologyMedicine

Abstract

fetched live from OpenAlex

This article discusses the first phase of an action research project aimed at identifying a collaborative and collective response to the need to prepare student teachers to work in diverse school contexts. The research brought together university researchers, community and cultural institutions, professional associations, school boards, and government and civil organizations to design a Diversity Institute for integration into the teacher preparation program at the University of Alberta. Student teachers’ responses to the Diversity Institute suggest that although a few participants were able to develop new understandings of themselves and others and to effect changes in their pedagogical practices, many remained at a shallow level of awareness about the complexities of diversity and difference. Reflections on the first phase of the Institute point to the underlying dynamics of learning and unlearning that are at work in becoming a teacher and the need for time and space for a deeper engagement with diversity in the teacher education program.

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)0.002
metaresearch head score (Gemma)0.007
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 score0.196
Threshold uncertainty score0.974

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0000.000
Research integrity0.0000.001
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 head0.481
GPT teacher head0.584
Teacher spread0.103 · 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

Citations20
Published2009
Admission routes2
Has abstractyes

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