Ontogenetic Diet Comparison of Atlantic Cod and White Hake Occurring at Historically Low Population Abundances
Bibliographic record
Abstract
Abstract Abundances of Atlantic cod Gadus morhua and white hake Urophycis tenuis have dropped to historically low levels in the southern Gulf of St. Lawrence. Stomach samples were collected during late summer 2001 and 2002 to compare ontogenetic diet patterns at a time when food presumably was not limiting. White hake had a narrow diet and showed an abrupt ontogenetic diet change: fish less than 35 cm total length (TL) consumed benthic invertebrates (sevenspine bay shrimp Crangon septemspinosa, gammarid amphipods, or polychaetes), while those at least 35 cm TL preyed mainly on Atlantic herring Clupea harengus. Atlantic cod had a broad diet initially dominated by benthic and pelagic invertebrates (Arctic argid Argis dentata, Aesop shrimp Pandalus montagui, Eualus spp., mysids, northern propeller clams Cyrtodaria siliqua, and polychaetes). Fish (mainly Atlantic herring, capelin Mallotus villosus, and small demersal species) were gradually incorporated into the Atlantic cod diet but did not comprise more than 50% of prey biomass until the cod reached a length of 50–60 cm TL. The incidence of cannibalism was low for both fishes. Diet overlap was low between all sizes of Atlantic cod and white hake but was high between adjacent size‐classes of Atlantic cod and for all size‐classes of white hake greater than 35 cm TL (where Atlantic herring comprised more than 70% of prey biomass).
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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 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".