Transmigrant Farmers Adaptation to Rainfed Rice Field and Irrigated Rice Field in North Luwu Regency, South Sulawesi - Indonesia
Bibliographic record
Abstract
This research is aimed to study the anthropology of transmigration, particularly on transmigrants' adaptation to different cultural background and environment of their new place. There are three analyzed variables in this research: the farmers' basic ability, culture (tradition), and motivation which might closely related to their adaptation capability in a new location. This is a quantitative research and it was conducted in Malangke District, North Luwu Regency, South Sulawesi. Multi-stage cluster random sampling was used as the sampling method. There were 400 samples taken in this study which consist of 200 farmers of rainfed ricefield and 200 farmers of irrigated rice field. The data was taken by conducting several interviews which are based on a question list and observation. Then the data was analyzed using factor (main component) analysis, path analysis, and product-moment correlation analysis. The result shows that transmigrants' adaptation capability is not influenced only by the new physical environment condition where they live, but also their origin as well as the social, economic, and cultural factors that become parts of their life.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".