Chapter 4 LIFE IN THE FAST FOOD CHAIN: OÙ SONT LES
Bibliographic record
Abstract
This chapter reviews the decline in high trophic level or ‘table ’ fish on Canada’s Pacific coast in the context of global depletion, the potential extinction of marine species and the economic and social drivers of overfishing. Impacts on Aboriginal and other coastal communities are identified. Whole ecosystem (Ecosim) models of northern British Columbia as it was in the 1750s and present-day are used to determine the sustainable food production potential of both past and present systems under different exploitation scenarios. The food production potential of the 2000 and 1750s ecosystems was assessed under four twenty-five-year simulation scenarios. Results indicate that the 1750s system could have sustainably generated over twenty times the current annual food production in northern British Columbia’s capture fisheries, while meeting UN food security criteria including cultural appropriateness. The present-day system could sustainably produce six times the fisheries yields extracted today if the fleet was adjusted to meet UN criteria for responsible fishing, and fisheries were conducted optimally to make best use of the existing resources.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.034 | 0.006 |
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".