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Record W4200493291 · doi:10.21067/jibs.v8i1.6113

REPRESENTASI UNGKAPAN-UNGKAPAN BAHASA LAMAHOLOT LINGKUNGAN KELAUTAN MASYARAKAT DESA BAHINGA TERHADAP PENINGKATAN NILAI-NILAI PENDIDIKAN KARAKTER

2021· article· en· W4200493291 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJurnal Ilmiah Bahasa dan Sastra · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicLinguistics and Language Analysis
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsCharacter (mathematics)MetaphorRepresentation (politics)SociologyCharacter educationLinguisticsMathematicsPolitical sciencePhilosophyLaw

Abstract

fetched live from OpenAlex

The article explains about the representation of maritime-metaphors of Lamaholot Language of Bahinga Community in Increasing the values of educational character. The aims of this article are to find the kinds of maritime-metaphor and to find the representation of those metaphors in building the students’ characters. Research approaches in this article is descriptive qualitative. The data retrieved by using observation and interview as main data and secondary data is taken from the thesis. The results show that there are nine maritime-metaphors of Lamaholot Language of Bahinga Community can be used in increasing the values of educational character.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.819
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.025
GPT teacher head0.247
Teacher spread0.222 · 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