Harmonization of social capital and philanthropic culture: A catalyst for smooth household supply chains and successful economic development
Bibliographic record
Abstract
This research aims to analyze the direct and indirect influence of social capital and a culture of mutual assistance on the smooth supply chain of household needs and its implications for the success of economic development. The research used quantitative methods with a sample of 89 respondents consisting of religious leaders and traditional leaders. This research was carried out in Kampung Jawa Tondano, also often abbreviated to JaTon, which is one of the sub-districts in North Tondano sub-district, Minahasa Regency, North Sulawesi province, Indonesia. Data collected through questionnaires was then analyzed using SEM-PLS. The results of research and data analysis show that: social capital directly has a positive and significant effect on the smooth supply chain of household needs; a culture of mutual help directly has a positive and significant effect on the smooth supply chain of household needs; social capital directly has a positive and significant effect on the success of economic development; a culture of mutual assistance directly has a positive and significant effect on the success of economic development; Differentiated learning innovation directly has a positive and significant effect on the success of economic development. The smooth supply chain for household needs can partially mediate the social capital and culture of helping each other towards the success of economic development in Kampung Jawa Tondano, also often abbreviated to JaTon, North Tondano sub-district, Minahasa Regency, North Sulawesi province, Indonesia.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".