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Record W2047339358 · doi:10.1017/s0047404501301057

<scp>France Mugler &amp; John Lynch</scp> (eds.), <i>Pacific languages in education</i>. Suva, Fiji: Institute of Pacific Studies, University of the South Pacific, 1996. Pp. viii, 310. Pb US $8.00.

2001· article· en· W2047339358 on OpenAlexaff
Christine Jourdan

Bibliographic record

VenueLanguage in Society · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsConcordia University
Fundersnot available
KeywordsPacific studiesNothingPacific RimPolitical scienceLibrary scienceSociologyHistoryAnthropologyComputer sciencePhilosophyArchaeologyEpistemology

Abstract

fetched live from OpenAlex

This is a collection of 19 articles written by educators, policymakers, and linguists addressing the use of Pacific languages in education. The focus is on small island countries, and so Australia is not included. The book, well illustrated and containing many useful maps, is edited by two scholars with extensive research experience in the Pacific. They have grouped the articles around three important themes relevant to local education systems: (a) the roles of vernaculars in formal education; (b) questions of policy, maintenance, and non-governmental programs; and (c) issues, problems, standards, and attitudes. The result is a book that presents a compelling picture of the linguistic situation of various education systems in the Pacific nations. To summarize the situation briefly: Nothing is simple.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.452
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.028
GPT teacher head0.348
Teacher spread0.320 · 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.

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

Citations0
Published2001
Admission routes1
Has abstractyes

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