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Record W7067819019

Methodologies for researching cultural diversity in education: international perspectives / Geri Smyth and Ninetta Santoro (eds.)

2014· other· en· W7067819019 on OpenAlexaboutno aff

Bibliographic record

VenueSwinburne Research Bank (Swinburne University of Technology) · 2014
Typeother
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAgency (philosophy)Cultural diversityDiversity (politics)Cultural competenceCulturally appropriateEthnic group
DOInot available

Abstract

fetched live from OpenAlex

As teachers, education policymakers and school managers seek to meet the needs of students from cultures and language backgrounds different from the dominant majority's, research needs to reflect the perspectives of the students themselves and of their parents and teachers, while taking account of the broader socio-political context. This book brings together research conducted in Scotland, Australia, Canada, Norway, Italy, Ghana and Pakistan, which addresses the ethical conduct of education research in culturally and linguistically diverse contexts. The relationship between researched and researcher is crucial, but it can be problematic when the researchers are from the dominant group and not the groups whose experiences they aspire to understand. These authors highlight the challenges of researching in culturally and ethnically diverse contexts, and describe innovative approaches such a mapping, shadowing and photography that give agency to the children who are being researched, rather than to the researchers. The book is of interest to academics and to classroom teachers researching their own practice, and also to education students and social science researchers working in culturally diverse contexts.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.053
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.126
GPT teacher head0.343
Teacher spread0.216 · 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.

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
Published2014
Admission routes1
Has abstractyes

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