An island in transition: governing conservation and development in Seram, Indonesia
Bibliographic record
Abstract
Seram is Indonesia's 8th largest island. It is central to the historic spice islands, once a hotbed for international trade of profitable tree‐products, primarily clove and nutmeg. Recent increased rates of social and ecological change, including costly conflicts, present Seram with new challenges and opportunities for conservation and development. Using place‐based transdisciplinary research methods, we diagnose the problems emerging in Seram. Engaging with actors across multiple scales and sectors, we explore drivers of change, social‐ecological impacts, and institutional arrangements that might achieve improved inclusive and sustainable development outcomes. Traditional and formal governance arrangements require harmonizing to optimize the benefits and costs from large‐scale investments arriving in Seram. Organizations wishing to achieve positive impact can more strategically engage with the broad range of actors to harmonize divergent visions for the future and confront the reality of incoming investments and infrastructure.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 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".