A COMPARISON OF TECHNIQUES FOR MARKING PASSERINE NESTLINGS
Bibliographic record
Abstract
We examined eight marking techniques designed specifically for use on newly hatched Red-winged Blackbird (Agelaius phoeniceus) nestlings (colored polishes applied to either the culmen or the hallux; colored elastic, plastic, or band-aid bands applied to the tarsus; stains applied to either the superciliary down or the tarsus; and superciliary down clipping) to determine which technique had the shortest application time and longest retention. Application times and retention rates varied between marking techniques, but this did not affect nestling growth or survival. Clipping of superciliary down feathers had the shortest application time and the highest retention rate of all techniques studied. This technique, however, is only applicable to species whose newly hatched young have superciliary down. Other techniques examined had comparably short application times, but were not retained for the entire nestling period.
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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) | 0.001 | 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 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".