Conflict Resolution with Management Design of Sinergy Program Revitalisation between Government, Corporation (CSR) and Society on the Basis of Economic Efficiency Corridor in East Kalimantan
Bibliographic record
Abstract
The implementation of conflict resolution phase III study showed that a win-win solution is beneficial to both sides of the conflict. The whole area is selected based on the amount of the most numerous mining and oil palm plantations which are plagued by the problem of external conflict, both with agencies and communities around the mines and plantations in East Kalimantan. The results of the implementation indicate that the conflict resolution is done through an integrated way with the principle of "win win". This has been proven through focus group forum that has agreed on a settlement process which is not detrimental to all parties though maximum expectations are not quite achievable. Several successfully resolved cases are disputed lands (mines and plantations) and the negative impact of the exploitation of the mine. In general, this is well received by all participants of the FGD, however, there are input / suggestions as follows: 1) the government must engage all elements and take responsibility for CSR programs that have been agreed, 2) agreed decision is not only tripartite coordination, but should include aspects of Coordination, Integration and Synchronization, 3) the Court should modify the rules based on Regional Acts, in which all decisions is not only relying on litigation, but also on the non-litigation, 4) It should incorporate aspects of mental development and HR potential of the local community through a variety of training (workshops) required by the surrounding community. Based on observations and FGD, it shows that this design can be done and turns out to be beneficial for all parties concerned, though there is an obstacle when claims for compensation are too high (replacement land with a maximum price) whereas the companies only want to replace with a low price supported by evidences are not owned by the local residents. However, the principle of "win-win solution" works well on solving the conflict that has been happening.
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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 | 0.005 | 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 | 0.004 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".