MétaCan
Menu
Back to cohort
Record W7046318593

The cultural diversification of the Scottish teaching profession: how necessary is it?

2016· other· en· W7046318593 on OpenAlexaboutno aff

Bibliographic record

VenueSwinburne Research Bank (Swinburne University of Technology) · 2016
Typeother
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationDiversification (marketing strategy)Cultural diversityEthnic groupDiversity (politics)Government (linguistics)White paperDeveloped country
DOInot available

Abstract

fetched live from OpenAlex

In the last two decades in most parts of the world, the nature of teachers' work and the knowledge they require has undergone enormous change. In part, these changes have occurred in response to unprecedented levels of global mobility. Culturally homogenous classrooms have become rare in most places in Britain, Europe and elsewhere, such as the USA, Canada and Australia (OECD, 2011). Of particular significance is the rapid rate of demographic change in some countries where there has been recent and relative cultural homogeneity, such as Iceland (OECD, 2013) and Ireland. for example (Government of Ireland 2012). Countries including the USA. Canada and Australia, sometimes referred to as 'classical immigration countries' or 'traditional immigration countries' (Dustmann, Frattini, & Lanrora 2011), have experienced increased cultural diversity in specific geographical areas and regions in response to government resettlement policies (e.g., Australian Department of Immigration and Border Protection 2014). Additionally, although not due to global trends in immigration, the cultural and linguistic diversity of countries such as Australia, New Zealand, Canada and the United States of America, includes the diverse cultures and languages of Aboriginal and First Nations populations. Despite the increased cultural and linguistic diversity of student populations, in Scotland, like the rest of the UK, the majority of teachers are white and monolingual (The Scottish Government. 2011; Department for Education, 2012). Increasingly, the lack of ethnic diversity within teacher populations worldwide is seen as problematic by researchers and policy makers in general, who have called for some time for the cultural and racial diversification of the profession. One of the reasons underpinning such calls is the benefit to culturally and linguistically diverse (CALD) pupils. An increasing body of research suggests ethnik and racial minority teachers have important insights about the pupils with whom they share cultural minority status.

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)0.011
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.081
Threshold uncertainty score0.161

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0110.022
Scholarly communication0.0110.009
Open science0.0020.010
Research integrity0.0020.007
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 head0.025
GPT teacher head0.310
Teacher spread0.285 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueSwinburne Research Bank (Swinburne University of Technology)Same topicMagnetic confinement fusion researchFrench-language works237,207