MICROEVOLUTIONARY ASPECTS OF BIRD MIGRATION BASED ON EXPERIMENTAL RESULTS
Bibliographic record
Abstract
ABSTRACT In many parts of the world we observe conspicuous changes in avian migratory habits. Alterations in migratoriness, mainly reductions, changes of migration times (particularly, later departures from and earlier returns to breeding grounds), and developments of novel migration routes and wintering areas are most obvious. It is likely that many of these changes are based on microevolutionary processes, i.e., selection. In a songbird population the rapid microevolution of a shift in the migratory direction of at least 30° within 30 years was established experimentally. With respect to changes in migratoriness, selection experiments with partial migrants show that shifts from full migratoriness to almost complete sedentariness are possible within 10 generations. Heritability estimates and other data also suggest rapid microevolutionary changes in migration distances and periods.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.003 | 0.002 |
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; both teacher heads agree on what is shown here.
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".