The Capitalism and Economic Behavior of the Maritime Community A Case Study of the Pasompe’ Community in the Bugis Makassar Land of South Sulawesi
Bibliographic record
Abstract
This study aims to reveal the influence of capitalism on the economic behavior of the maritime community, by studying the case of the Pasompe’ Community in the Bugis Makassar Land of South Sulawesi. This research was conducted using the Verstehen method which is the "reversal of the burden of proof" of what is at the "back" of the Pasompe’ Community’s income distribution in the Bugis-Makassar area in South Sulawesi. The results showed that the underdevelopment of the maritime community, especially the Pasompe Community is rooted in the uncultured mentality characterized by the large claim made by owners of capital to the workers, a negative deflection of Western capitalism, which historically has been created since the days of colonialism. Without ignoring the positive side of capitalism, further research also found that the greater the capital invested by the owners of capital (bourgeois) on the one hand and the lower productivity of workers (proletariat) on the other hand in the socio-economic structure of the maritime community, resulted in the ever flourishing uncultured mentality, where it is very clear that people with this type of mentality can not be expected to build maritime civilizations in the future.
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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 | 0.004 |
| Scholarly communication | 0.001 | 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".