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Record W4252323896 · doi:10.1017/s0025100305002185

Central Arrernte

2005· article· en· W4252323896 on OpenAlexaboutno aff
Gavan Breen, Veronica Dobson

Bibliographic record

VenueJournal of the International Phonetic Association · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicLinguistic Variation and Morphology
Canadian institutionsnot available
FundersAustralian Institute of Aboriginal and Torres Strait Islander StudiesBatchelor Institute of Indigenous Tertiary Education
KeywordsQuarter (Canadian coin)PhonologyGeographyLinguisticsHistoryEthnologyArchaeology

Abstract

fetched live from OpenAlex

Central Arrernte is the language of an area centred on the present-day town of Alice Springs, in Central Australia. It is one of a group of dialects or closely-related languages spoken or formerly spoken over most of the southeast quarter of the Northern Territory and extending on the east side into the far-western part of Queensland; a slightly less closely-related language extends south into the north-central part of South Australia. They include varieties using the names Anmatyerr, Alyawarr and Antekerrepenh as well as several varieties using the name Arrernte with (nowadays) English geographical qualifiers. The major surviving varieties, Eastern, Central and Western Arrernte, Eastern and Western Anmatyerr, Southern and Northern Alyawarr each have several hundred to a thousand speakers, and are still being learned by many of the children, who grow up bilingual (in English) or multilingual. Breen (2001) is a brief introduction to the phonology of these languages.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.047
Threshold uncertainty score0.157

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0470.014

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 head0.011
GPT teacher head0.285
Teacher spread0.275 · 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 designObservational
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

Citations34
Published2005
Admission routes1
Has abstractyes

Explore more

Same venueJournal of the International Phonetic AssociationSame topicLinguistic Variation and MorphologyFrench-language works237,207