Ecological drivers of inter- and intra-population variation of sexually-selected traits in brook trout (Salvelinus fontinalis)
Bibliographic record
Abstract
Although mating systems are generally considered fixed properties of species, ecological factors can play an important role in the degree to which sexual selection acts on matingrelated traits in a population.Differences in the distribution of individuals can result in variation in sexually-selected traits.I explored the influence of ecological factors on population distribution and sexually-selected traits within and among four genetically isolated populations of brook trout in Cape Race, Newfoundland.Generally, females aggregate in areas with abiotic conditions that are optimal for offspring survival.Relationships between population density, sex ratio, and phenotypic variation suggest that social environment plays a large role in the distribution of brook trout within streams, as well as variation in the direction and magnitude of sexual size and colour dimorphism.Although these general trends were observed, variation among streams suggests that different factors are influencing the degree to which sexual selection operates on Cape Race.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".