Digest: Premating barriers drive reproductive isolation between two damselfly species*
Bibliographic record
Abstract
Under the biological species concept, speciation occurs when two populations become reproductively isolated from each other (Mayr 1942). Reproductive barriers can be broadly distinguished into two classes: premating barriers, which prevent mating between different species, and postmating barriers, which prevent fertilization or the production of viable or fertile hybrid offspring. The “lock-and-key” hypothesis states that differences in genital morphology between two species will prevent successful mating. This can occur in two ways: mechanical incompatibility between the genitalia of different species, and mismatches in tactile mechanisms, where inappropriate genital morphology produces sensory information that elicits a negative response in one or both sexes (reviewed in Masly 2012). For example, some species of damselflies cannot form the required mating position with heterospecifics because of incompatible reproductive structures (Sánchez-Guillén et al. 2012, Paulson 1974), and Drosophila males lick and tap female genitalia to gain pheromone information and evaluate potential mates (reviewed in Ebbs and Amrein 2007).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.017 | 0.011 |
| Insufficient payload (model declined to judge) | 0.010 | 0.013 |
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".