Harvest control rules for stocks displaying dynamic production regimes
Bibliographic record
Abstract
Abstract Mohn, R. K., and Chouinard, G. A. 2007. Harvest control rules for stocks displaying dynamic production regimes. – ICES Journal of Marine Science, 64: 693–697. Several cod and haddock stocks in Atlantic Canada have undergone substantial changes in productivity. Regimes are defined as periods of relatively stable production separated by rapid transitions to a different level. These regimes are deconstructed into their dominant determinants of growth, survivorship, or recruitment. Using southern Gulf of St Lawrence cod and eastern Scotian Shelf haddock as case studies, regimes are identified based on production. Haddock display an almost threefold difference between productive and non-productive regimes, owing mainly to a change in reproductive output. Cod have a more complicated history, displaying three regimes, and a variation in production by a factor of approximately eight. The production data in each regime are identified and smoothed to show the underlying dependence on biomass. Finally, simple three-phase harvest control rules (having critical, cautious, and healthy zones) for distinct regimes are presented to illustrate the potential importance of regimes in resource management.
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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 | 0.002 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".