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Record W4295540079 · doi:10.5430/wjel.v12n6p435

Intratribe Variation in Language Among Obo-Manobo: An Ethnolinguistic Study

2022· article· en· W4295540079 on OpenAlexvenueno aff
Jerson S. Catoto

Bibliographic record

VenueWorld Journal of English Language · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicLinguistic Variation and Morphology
Canadian institutionsnot available
Fundersnot available
KeywordsGlossaryLinguisticsVariation (astronomy)IndigenousNounFocus (optics)Computer scienceSociologyHistoryPhilosophy

Abstract

fetched live from OpenAlex

Obo-Manobo, one of the tribes in Mindanao Philippines, inhabiting some municipalities in the Province of North Cotabato, has ethnic or indigenous language which is not sufficiently analyzed and documented. To account varieties in language and to come up with the glossary of terms, the researcher used the Metalinguistic knowledge from the interviews, focus group discussions, observations and translation of the Swadesh Word List and from the lexical databases such as the word lists of Obo-Manobo accounted by the SIL. The study revealed distinct variations in the Obo-Manobo language from the culture bearers of Kidapawan City, Magpet and President Roxas in the Province of North Cotabato. Obo-Manobo has lexical varieties in the way they name and describe things, person, places, events and concepts (noun and adjectives); use the main verb, prepositions and conjunctions. These are all accounted in the glossary of terms – the output of this study.

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)0.004
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.063
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.014
GPT teacher head0.313
Teacher spread0.299 · 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 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

Citations2
Published2022
Admission routes1
Has abstractyes

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