ADAPTASI MASYARAKAT DI TUAPEJAT KABUPATEN KEPULAUAN MENTAWAI PROPINSI SUMATERA BARAT
Bibliographic record
Abstract
Mentawai is an area consisting of several islands. However, there is one island that was initially notoccupied by the Mentawai people. It was Sipora located exactly in Tuapejat. The island was originallyonly used as a stopover for people who cross the island. However, as the region expands and thensearches for the capital region of the Regency, Sipora Island is chosen as a strategic location for theMentawai people who are on another island. In the past, Mentawai was still part of Pariaman Regency.Then this region became one of the transmigration areas of the population both from West Sumatraitself and from the island of Java. Because of the first entry of transmigration, as well as the existenceof Mentawai people from other islands, they mixed together with a variety of customs and habits.Therefore this paper examines the forms of community adaptation in Tuapejat, Mentawai, West SumatraProvince. This paper uses qualitative approach. The data are collected through interview andobservation. The result of the research shows that there is good adaptation ability among the people inMentawai with the newcomers. The first proces of adaptation is done from the family environment. Theadoption of value is first done in the family before family members interact in the wider environmentsuch as the community. Religious and cultural differences are common in Tuapejat society, especiallyfor Mentawai people. Religious and cultural differences are not a problem among them because theygive priority to mutual respect and value for each difference.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".