Inter-community Relations Factor on the Empowerment of the Aisle Community in Makassar City: A Structural Equation Model
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Background: There are several important factors in building community empowerment, one of them is the inter-community relationship. However, further research is rarely done on this dimension. The dimension of the relationship includes community structure, community strength, community motivation, community communication, community integrity, community participation, and community development. Objective: This study aimed to find the best model of the effect of the inter-community relationship on the condition of healthy aisle in Makassar City. Method: This research was conducted in 2 sub-districts in Makassar City, those are Rappocini District and Ujung Tanah District. The research samples involved were 560 households in Lorong. Data analysis was performed using multivariate analysis through the structural equation model (SEM) test. Results: The results of this study found that clear vision (CR = 3.219 and p = 0.01), capacity development (CR = 3.166 and p = 0.02), norms existence (CR = 3.143 and p = 0.02) on inter-community relationship significantly affected the aisle community empowerment. Conclusion: Inter-community relationship is the best model in developing a healthy aisle in Makassar City through solidarity, shared motivation, shared trust, clear vision, resources shares, capacity building, norms in society, government support, and community development. This study recommends that in order to maximize a clear vision for the aisle community working group, the government should carry out legality regarding the aisle community structure.
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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 | 0.012 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.007 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it