MétaCan
Menu
Back to cohort
Record W2136599168 · doi:10.1177/0022487109353032

Teachers’ Collaborative Conversations About Culture: Negotiating Decision Making in Intercultural Teaching

2009· article· en· W2136599168 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Teacher Education · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Education and Multiculturalism
Canadian institutionsBritish Columbia Institute of Technology
FundersBritish Columbia Institute of TechnologyUniversity of Manitoba
KeywordsPracticumNegotiationIntercultural relationsPedagogyIntercultural communicationPsychologyIntercultural learningTeacher educationSociology

Abstract

fetched live from OpenAlex

This article presents findings from a study that investigated intercultural teaching through teachers’ collaborative conversations about critical intercultural incidents in schools. The data were generated through Web-CT and face-to-face dialogues between preservice, inservice, and university teachers about critical intercultural incidents identified by the preservice candidates during practicum experiences. Findings focus on teachers’ intercultural decision making within two broad categories: “minding” (making choices, enabling cultures, respecting and sharing power, and arbitrating and agonizing what is just) and “responding” (fostering intercultural communities, opening “safe” spaces, protecting students and surroundings, and “stepping up” to address it). Implications include the role of social and emotional learning and power dynamics in intercultural teaching and the potential for a case-study approach to intercultural teacher education.

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation 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 score0.173
Threshold uncertainty score0.419

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
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 integrity0.0000.001
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 head0.019
GPT teacher head0.399
Teacher spread0.380 · 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