Bibliographic record
Abstract
Male mate choice is a fundamental part of sexual selection.Here I contributed to the work on mate recognition by presenting conspecifics and heterospecifics to Nehalennia irene and Nehalennia gracilis to quantify their ability to recognize mates.I evaluated if inexperienced N. irene (sampled from an allopatric population where N. gracilis does not occur) show less discrimination between phenotypes than experienced males (sampled from a sympatric population where N. irene and N.gracilis co-occur).I performed high quality scans and colour analysis on thoraxes of all phenotypes to ascertain differences in colour between sites.I measured individual and population level mate preferences to evaluate the current hypotheses explaining sex limited polymorphism in odonates.Results taken together show that both species have difficulty in discriminating between phenotypes and that inexperienced and experienced males react in the same manner to potential mates.Colour analysis indicated there are differences in thorax colour between males, and between gynomorphs and other phenotypes but not between locations.Individual males showed no preferences for a specific morph inconsistent with hypotheses.
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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 | 0.000 |
| 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".