Bibliographic record
Abstract
Natural hybridization between closely related taxa is frequent in many organismal groups, yet it has long been perceived as a force preventing diversification and speciation, especially so in animals. In recent years, growing evidence in favour of hybridization facilitating adaptive divergence has accumulated (Mallet 2007; Mavárez & Linares 2008; Nolte & Tautz 2010). Homoploid hybrid speciation (the formation of hybrid lineages without changes in chromosome number) occurs when distinct species come into contact, hybridize, and at least in part of their range, produce hybrid swarms. If the hybrid genotypes can then colonize areas of the adaptive landscape inaccessible to ancestral species, they may eventually form new distinct lineages, reproductively isolated from their ancestors. Invasive sculpins (Cottus sp.) are one of a few good examples of homoploid hybrid speciation in animals. In this issue, Stemshorn et al. (2011) identified three distinct hybrid lineages, which have emerged out of a secondary contact situation of Cottus rhenanus and Cottus perifretum. Hybrids have recently invaded large river habitats unsuitable to ancestral species. Through the use of genetic mapping, the authors established that contrary to expectations, chromosomal rearrangements were not apparent in the hybrid lineages. In addition, different population genetic models were tested and the results suggest that contemporary gene flow from ancestral species represents an important component of the system. As such, recent and ongoing hybridization appears to be promoting the appearance of phenotypes adapted to novel environments. The examination of partially isolated lineages such as invasive hybrid sculpins should permit to identify early adaptive genetic changes before they become confounded by differences arising once speciation is complete.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".