Plasticity of threespine stickleback nuptial signals: laboratory manipulation of ambient light causes a shift in male reflectance patterns
Bibliographic record
Abstract
Abstract I caught courting male threespine stickleback ( Gasterosteus aculeatus ) in Hotel Lake, BC, Canada, and transferred them to one of three experimental lighting environments. Male signal reflectance was measured upon capture from the lake, at one-day post transfer to the experimental light, and at onset of courtship behaviour under artificial light. Male signals responded rapidly to the change in lighting environment following transfer from the wild to the artificial lighting environments and in different ways dependent upon the artificial light composition. Males under red-shifted light had higher signal reflectance in the short wavelength range of the spectrum and less reflectance in the medium and long wavelength range of the spectrum relative to the males in blue-green shifted and full-spectrum lighting. Given the relative prominence of the male stickleback nuptial signal in the behavioural ecology literature, the increasing evidence for the signal’s ambient light dependent expression, and the large body of literature based on experiments conducted under artificial light, it would be prudent to repeat some of the classic mate choice experiments under more realistic lighting conditions.
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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 | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".