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Record W4411501941 · doi:10.61132/semantik.v3i3.1974

Penamaan Tempat Usaha di Umakatahan : Kajian Semantik

2025· article· en· W4411501941 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

VenueSemantik Jurnal Riset Ilmu Pendidikan Bahasa dan Budaya · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicLinguistics and Language Analysis
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsComputer scienceDocumentationNothingProcess (computing)Data collectionUniquenessSociologyEpistemologyPsychologyPhilosophyProgramming language

Abstract

fetched live from OpenAlex

The purpose of this research is to analyze the naming of business places in Umakatahan. The theory used in analyzing naming is Chaer’s theory (2009). This study uses a qualitative research model. The data collection process carried out in this study used the documentation method, followed by the observing and nothing method. The data in this study are presented in a descriptive form or informal method. Based on the result of this study it was found that from 5 data on the naming of bussines places in Umakatahan, there were grammaticalmeanings. In addition, the naming process that occurs in 5 data on the naming of business premises in Umakatahan, produces 5 data based on inventors or makers, data based on new names, data based on place of origin, data based on uniqueness and new naming. So, it can be concluded that the naming of business places in Umakatahan is dominated by the process of the inventor or maker because most of the business places use the name of the owner or maker.

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 score0.781
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
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.013
GPT teacher head0.249
Teacher spread0.236 · 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