Investment Behaviour and Capacity Adjustment in Fisheries: A Survey of the Literature
Why this work is in the frame
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Bibliographic record
Abstract
This article provides a survey of the economic literature on investment behaviour and capacity adjustment in fisheries. An overview of the existing theoretical and the empirical work is provided, and areas that require more work are pointed out. The survey shows that while a large body of theoretical work has been developed on the issue of capital adjustment in fisheries, relatively less attention has been granted to the theory of investment, where this becomes a separate decision to the decision about capital levels; i.e., where capital is quasi-malleable. In addition, empirical studies have been fairly limited, and more work is still needed to analyse and further investigate these issues in practical situations. There is particularly a need for more empirical studies of investment behaviour and drivers of investment behaviour at the firm level based on adequate economic data.
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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 | 0.000 | 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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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