Back to the Future in Northern British Columbia: Evaluating Historic Marine Ecosystems and Optimal Restorable Biomass as Restoration Goals for the Future
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
Where previous work identified candidate whole-ecosystem goals for restoration in Northern British Columbia, this study develops a new technique to achieve those goals. The optimal fishing pattern to bring about recovery is determined through simulation, so that the fisheries modify the current ecosystem over time into one that more closely resembles an ideal ecosystem state based on historic conditions. This study introduces a new conceptual restoration target, a set of optimal restorable biomasses (ORB): a whole-ecosystem analogy to B MSY . A number of restoration plans are drafted, drastic (requiring large reductions in harvest from current levels) to moderate (minor reductions). Plans are evaluated using cost-benefit analysis. Socioeconomic and ecological benefits of each plan are described; a convex relationship between fishery profit and ecosystem biodiversity suggests that there may be an optimal rate of restoration.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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 it