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Record W4241268156 · doi:10.1017/s0025100320000225

Dàgáárè (Central)

2020· article· en· W4241268156 on OpenAlexaff
Alexander Angsongna, Samuel Akinbo

Bibliographic record

VenueJournal of the International Phonetic Association · 2020
Typearticle
Languageen
FieldComputer Science
TopicLinguistic Studies and Language Acquisition
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsGeographySpoken languageHumanitiesLinguisticsArtPhilosophy

Abstract

fetched live from OpenAlex

Dàgáárè /dàgááɹɪ̀/ (ISO 639-3) is a Mabia language (Bodomo 1997) of Niger-Congo family. It is spoken by about 1.5 million The map in Figure 1 shows the areas, in northwestern Ghana and southern Burkina Faso, where Dàgáárè is spoken predominantly. There are four broad dialects of Dàgáárè. These include Northern Dàgáárè [dàgàɹà], spoken in Lawra /lóɹáː/, Nandom /nàndɔ̀ː/ and Burkina Faso; Southern Dàgáárè /wáːlɪ́/, spoken around Kaleo /kàlèó/ and in Wa /wá/; Western Dàgáárè /bɪ̀ɹɪ̀fɔ̀/ spoken in Lassie /lààsɪ̀ɛ́/, Tuna /tʊ́ːnà/ and along the western side of the Black Volta river in Burkina Faso. The other dialect is Central Dàgáárè. These broad dialects are further divided into sub-dialects, as there are internal variations in these dialect groups (Bodomo 2000). This paper’s primary focus is on Central Dàgáárè, which comprises the varieties spoken in and around Jirapa /ʤɪ̀ɹɛ́bǎː/, Han /hɛ̌ŋ/, Ullo /úlò/, Daffiama /dàfɪ̀ɛ́mɛ́/, Nadowli /nàdòlí/, Charikpong /tʃɛ̀ɹɪ̀kpóŋ/, Sombo /sʊ̀mbɔ́/ and Duong /dùóŋ/.

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)0.000
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 score0.125
Threshold uncertainty score0.417

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.1250.037

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 head0.007
GPT teacher head0.203
Teacher spread0.195 · 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

Citations4
Published2020
Admission routes1
Has abstractyes

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