Data from: Environmental and geographic conditions on the breeding grounds drive Bergmannian clines in nightjars
Bibliographic record
Abstract
We assembled a cross-continental dataset from 29 researchers to assess: Whether three species of migratory nightjars (Family Caprimulgidae) adhere to Bergmann's rule; Whether environmental factors on the breeding or wintering grounds determine body size; and Which mechanistic hypotheses best explain Bergmannian patterns in body size. We captured 7,318 Caprimulgids (3,388 used in final analysis) using mist nets and conspecific playback across North America and Europe, a subset of 215 of which were equipped with telemetry tags to obtain winter locations. Data includes morphological measurements (mass and wing length), migratory distance, and environmental variables associated with breeding and winter locations. Species: Eastern whip-poor-will (Antrostomus vociferus), Common nighthawk (Chordeiles minor), and European nightjar (Caprimulgus europaeus).
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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 teacher head, 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".