An Organisational Discussion of Incomplete Contracting and Transaction Costs in Conservation Contracts
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
Abstract Conservation in the agricultural sector is difficult to achieve. A primary complicating factor in achieving conservation is the large number of public good environmental services provided by large numbers of individuals acting under diverse economic and ecological conditions. The complexity of the problem implies that additional consideration must be given to transaction cost economics and the theory of incomplete contracting. Drawing on insights from organisational economics, this paper argues that conservation policy and research could be improved with explicit consideration of the effects of ‘holdup problems’, transaction costs and trust on the provision of conservation services. ‘Bottom‐up’ approaches are promising as they directly incorporate these organisational issues, and the paper concludes with an example of a ‘bottom‐up’ conservation programme, the Ontario Environmental Farm Planning programme.
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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 | 0.000 |
| 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 | 0.001 |
| 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 it