On being the wrong size, or the role of body mass in fish kills and hypoxia exposure
Bibliographic record
Abstract
Abstract Rising temperatures, drought, and oxygen depletion may be the greatest threats to aquatic animals in the twenty-first century. As a robust body of literature suggests, large-bodied fish are among the most vulnerable organisms in times of rapid climate change. While earlier studies showed an interspecific correlation between body size and sensitivity to hypoxia and thermal stress, comparisons within species remain debated. This review marshals a diverse body of literature on this topic, ranging from physiological studies to field reports and fish kill manuals, and evaluates the evidence for intraspecific size effects on hypoxia tolerance. While experimental studies and fisheries management literature sometimes contradict each other, we show that there is strong evidence for size effects on hypoxia tolerance within fish species. We argue that bringing fisheries management literature and physiological studies into a dialog with each other is of crucial importance in times of rapid climate change.
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How this classification was reachedexpand
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 | 0.001 |
| 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 teacher head, 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".