Pamali, Bajo’s Local Wisdom in the Conservation of Marine Resources
Bibliographic record
Abstract
The purpose of this study is to examine and analyze the tradition of pamali (taboo/tobo) as one of local wisdom of Bajo tribe in the conservation of marine resources. This research was conducted in Bungin Permai Village, South Konawe District, Southeast Sulawesi. Data collection techniques were conducted through in-depth interviews, involved observations, document studies and focused discussions. Data analysis is done through data reduction, data presentation and conclusion. The results show that pamali or abstinence is one of local wisdom of Bajo tribe in the conservation of marine resources born from their life experiences in interacting with the sea, with the same (Bajo tribe) and bagai (people outside Bajo tribe), and their relationship with Mbo (God) the ruler of the sea. Pamali arranges matters relating to the survival of ecosystems and marine biota, such as pamali of catching fish or collecting seafood around the coral reefs, in pasi and pamali of catching marine animals seen as the embodiment of Mbo. Pamali also deals with the safety of individuals and Bajo society generally, because the Bajo tribe believes in pamali as karma law, if it is violated will befall the person who violates it or its family and its offspring anytime and anywhere. The understanding of pamali gave birth to the concept of self-conscious behavior in the management of marine resources called empe diri (empat diri) that is Self-Awareness, Self-Endurance, Self-Conception and Self-Confidence.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".