Geographic diversification in the call repertoire of the genus <i>Pyrrhocorax</i> (Aves, Corvidae)
Bibliographic record
Abstract
We analysed the call repertoires of the Red-billed Chough (Pyrrhocorax pyrrhocorax) and the Alpine Chough (Pyrrhocorax graculus) across three continents (Europe, Asia, and Africa) for intraspecific and interspecific differences in call-repertoire size and discuss the factors that could have promoted its evolution. The overall call repertoire of the Red-billed Chough was twice as large as that of the Alpine Chough, but the number of calls recorded in each population did not differ significantly between the two species. The greater fragmentation of the range of the Red-billed Chough possibly induced its remarkable call-repertoire diversification. Some populations (i.e., those from Ethiopia, Central Asia, Canaries) had a peculiar call repertoire that overlapped very little with those from other regions; consequently, the overall numbers of call types within the species were heavily influenced by these unusual populations and were very large. The call-repertoire size and call-repertoire similarity of populations of both species were affected and constrained by geographic distance. More closely situated or continental populations tended to have a more similar pool of calls (this is probably due to mingling among close populations).
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 | 0.000 |
| 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".