The Importance of Context: Integrating Resource Conservation with Local Institutions
Bibliographic record
Abstract
This article focuses on the manner by which resource management regimes, often conceived far away from their areas of application, are integrated into the local institutions, practices, and social structures of a place. This process of contextualization may be especially critical where, for reasons of resource scarcity, remoteness, or system complexity, the state cannot engage in effective program management. The thesis of the article is that if the program is to be sustainable, contextualization may be necessary and, moreover, can induce profound changes in the form and function of the original program. This process can lead to a type of governance that operates through webs of social relationships rather than hierarchical and bureaucratic lines of authority. We use this mode of analysis to show how a unique and viable species conservation program evolved on the Turtle Islands, Philippines, how the process of contextualization transformed it, and why it all unraveled.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.006 | 0.033 |
| Scholarly communication | 0.011 | 0.011 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".