Collaborative Governance in Poverty Alleviation in Ngada Regency, East Nusa Tenggara Province, Indonesia
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
This research was conducted to describe and analyse the Implementation of Collaborative Governance in poverty alleviation and supporting and inhibiting factors in it. Research locus in Ngada Regency, East Nusa Tenggara Province, Indonesia. This type of research is descriptive qualitative. Data collection techniques used were interviews, observation, FGD, observation and document review. Data validity is tested through data triangulation and data analysis using Data Condensation, data presentation and conclusion drawing. The results showed that Collaborative Governance in poverty alleviation in Ngada Regency, East Nusa Tenggara Province has not fully met the substantial elements of Collaborative Governance according to Deserve which includes network structure, Commitment to a Common Purpose, Trust among the Participants, Governance, and Access to Authority, Distributive Accountability / Responsibility, Information Sharing and Resource Access. The dynamics of collaboration have not yet taken place in the real sense. The Resource, Leadership, Institutional and Cultural Factors are the four factors that influence and inhibit collaboration. Drivers of collaboration include the need for resource sharing, leadership vision on poverty issues, and recognition of potential among stakeholders. Obstacles include resource gaps, less facilitative leadership, no representative institutions and a strong culture of government dominance.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it