Peculiarities of the courtship song in the Drosophila melanogaster populations adapted to gradient of microecological conditions
Bibliographic record
Abstract
In theory of evolution, two chief scenarios of development of sexual isolation--allopatric and sympatric, which act respectively under conditions of geographic separation or without it. Differences in the courtship behavior and in the used signals can lead to reproduction isolation and prevent gene exchange between sympatric populations or species, in which postcopulational barrier are absent. The previous studies of natural Drosophila populations inhabiting the opposite, ecologically contract slopes of evolutional canyon (vicinities of the brook Open in the mountain ridge Karmel, Israel) revealed statistically significant differences between them by the complex of adaptive and behavioral parameters including courtship behavior and choice of partner for copulation. Astonishingly, differentiation of two populations has appeared in spite of a very small distance between two slopes. Here we report the statistically significant differences between males from the opposite slopes in characteristics of the courtship song that is one of signals serving for recognition by female of sexual partner of her species. We suggest that these differences can underlie the earlier revealed female discriminational behavior and can reflect different adaptive strategies in the populations inhabiting opposite canyon slopes.
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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".