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Record W2948358562 · doi:10.5539/elt.v12n7p61

Outlining the Language Policy and Planning (LPP) in Fiji; Taking Directions From Fiji Islands Education Commission Report of 2000

2019· article· en· W2948358562 on OpenAlexvenueno aff
Prashneel Ravisan Goundar

Bibliographic record

VenueEnglish Language Teaching · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsVariety (cybernetics)CommissionSketchLanguage planningLanguage policyContext (archaeology)Language educationLanguage assessmentLanguage industrySociologyPsychologyPedagogyLinguisticsComprehension approachPolitical scienceGeographyComputer scienceArtificial intelligenceLaw

Abstract

fetched live from OpenAlex

Language is something many individuals take for granted. It is usually when we discover that our language (or language variety) is different from and perhaps less valued than, the language of others or that our options are somehow limited, either because ‘we do not speak/understand a language or language variety, or use it inappropriately or ineffectively in a particular context that we begin to pay attention to language’. This paper gives a sketch of Language Policy and Planning (LPP) which is becoming a well-researched field for many academics as well as postgraduate students. The article provides the latest pertinent information on Fiji’s LPP, the linguistic background as well as the medium of instruction (MOI). It further deliberates on the recommendations from the Fiji Islands Education Commission Report of 2000 which is a well-articulated document that provides an overt grounding for LPP in the South Pacific.

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)0.007
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 score0.236
Threshold uncertainty score0.906

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.024
GPT teacher head0.426
Teacher spread0.403 · 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

Citations11
Published2019
Admission routes1
Has abstractyes

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