KONTRUKSI SOSIAL MASYARAKAT MANDAR TERHADAP PASSAU’ WAI DI DAERAH ALIRAN SUNGAI (DAS) MANDAR
Bibliographic record
Abstract
Mandar defined as water, thus Mandarnese society is a community that closely related to the water, which is formed from seven kingdoms upstream and seven kingdoms downstream of the river "pitu ulunna salu, pitu baqbana binanga". The society and Mandar River are two things that cannot be separated from the past until nowadays. This research is focused on the investigation of the people context who work as passau’ wai, the social construction of the passau' wai in the Mandar River watershed, the environmental conditions of the Mandar River, and the value implementationof the passau’ wai.The subject of analysis is the head of the family who is passau’ wai by profession. The results show that the current condition of the Mandar River is in a polluted status, the condition of the river does not discourage the community from continuing to carry out “passau 'wai” activities. The social construction process that formed is the influence of the Mandar community's paradigm which assumes that Mandar River water is a medicine or an antidote. The social context of the people who work as passau' wai was motivated by some factors, they are low education, habit, distance from the house to the river, and economic conditions. The activity of “massau' wai” is one of the ancestral cultures which in the process contains values, namely, 1) religion, 2) value of belief, 3) togetherness, 4) humanity, 5) Siri' (shame), 6) high work ethic, 7) mutual cooperation, and 8) Sibaliparriq (gender equality).
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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 | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.027 | 0.004 |
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".