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Record W2990287653 · doi:10.1386/tjtm_00003_1

The relational work of international teachers: A case study of a Sino-foreign school

2019· article· en· W2990287653 on OpenAlexaboutno aff
Alex Kostogriz, Gary Bonar

Bibliographic record

VenueTransitions Journal of Transient Migration · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Education and Multiculturalism
Canadian institutionsnot available
Fundersnot available
KeywordsCurriculumPedagogyContext (archaeology)WorkforceWork (physics)SociologyDual (grammatical number)Professional developmentMathematics educationPolitical sciencePsychologyEngineeringGeographyLinguistics

Abstract

fetched live from OpenAlex

Abstract In the context of a rapid expansion of 'internationalized' schools around the world, and the subsequent demands for a teaching workforce, teachers are increasingly on the move. It is, however, no longer sufficient to represent international teacher mobility merely as a movement of predominantly English-speaking teachers who can deliver American, British, Canadian or Australian curricula. The increase in schools that offer bilingual and dual curricula has resulted in the mobility of local teachers who work alongside English-speaking ones. Although these schools are attractive to many international and local teachers, they also present certain professional, cultural and linguistic challenges. Drawing on the theory of practice architectures, this article identifies and discusses the relational tensions between foreign and local teachers as they grapple to build a new professional culture of collaboration – one that demands the transformation of dispositions, professional knowledge, actions and judgements to 'fit in' to the internationalized school.

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)0.005
metaresearch head score (Gemma)0.007
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 score0.038
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0370.015
Scholarly communication0.0080.005
Open science0.0030.010
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0060.001

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 head0.033
GPT teacher head0.328
Teacher spread0.295 · 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

Citations29
Published2019
Admission routes1
Has abstractyes

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