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Record W2015615154 · doi:10.1177/000494410504900303

Global Teachers with Globite Cases

2005· article· en· W2015615154 on OpenAlexaboutno aff
Carol Reid

Bibliographic record

VenueAustralian Journal of Education · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Education and Multiculturalism
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationNegotiationGlobalizationEconomic shortageSociologyIdentity (music)Political scienceWork (physics)PedagogyPublic relationsGender studiesEconomic growthSocial scienceLaw

Abstract

fetched live from OpenAlex

A key feature of contemporary changes in globalisation is the increasing transnational flows of people. Evidence of the way in which these changes are impacting on education in Australia today is found in the presence of its immigrant teachers. Teacher shortages in Australia have led to increasing numbers of immigrant teachers from non-European or non-English-speaking background countries. This article reviews the recent experiences of Australia, New Zealand and Canada in recruiting these teachers. The findings of a study into the presence of immigrant teachers in selected Australian schools are then presented. It was found that as these immigrant teachers negotiate the ‘authoritative discourses’ in their professional lives, they contribute to the reworking of the identity and work of teachers. The article concludes by sketching a research and policy agenda that arises in response to, and as an expression of the presence of this new generation of global/local teachers.

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)0.002
metaresearch head score (Gemma)0.004
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: none
Teacher disagreement score0.028
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0100.007
Scholarly communication0.0070.003
Open science0.0010.011
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0210.001

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 head0.038
GPT teacher head0.389
Teacher spread0.351 · 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

Citations26
Published2005
Admission routes1
Has abstractyes

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