The Role of Social Capital on International Trade Transactions at Wini Market, In Realizing Social Harmonization of Indonesia-Timor Leste Border Community
Bibliographic record
Abstract
May 20, 2002, East Timor was internationally recognized as an independent country by the name of Timor Leste with extraordinary support from the United Nations and thus officially became an independent state separate from Indonesia. One of the border areas that were selected as the research site was the Wini border, North Central Timor Regency, East Nusa Tenggara Province. In the Wini region, there is a market called the Wini market. This study aims to explain the role of social capital in international trade transactions in the Wini Market because it involves different citizens from Timor Leste and Indonesia. The research used a descriptive approach and qualitative research method. Theories used are Social Capital theory, Classical Economic theory, and the concept of Cross-Border Trade. The research shows that the people from Timor Leste conduct economic transactions, in this case, shopping at the Wini market every Monday to meet their food, clothing, and other needs. For border communities, the interactions in the Wini market are not only for trade transaction but also to interact with their relatives and others. The results of this study may contribute to the knowledge of the relationship between the science of International Relations and Sociology. From a practical point of view, a border policy can be applied in the economic sector and in the mechanism of mutually beneficial trade transactions between citizens of different countries. The elements of social capital such as trust, norms, and networks have functioned in the process of trade transactions. The application of social capital in international trade economic practices in the Wini Market is what keeps social harmony in the context of international trade transactions in the Wini Market.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".