Note types and coding in parid vocalizations. II: The chick-a-dee call of the mountain chickadee (<i>Poecile gambeli</i>)
Bibliographic record
Abstract
We describe the chick-a-dee call of the mountain chickadee, Poecile gambeli (Ridgway, 1886), by classifying the various call notes into six types (A, A/B, B, C, Dh, and D). Note-type analyses identify a high degree of similarity among A and A/B notes in the ascending duration, descending duration, and note peak frequency, and among A/B and B notes in the end frequency. This statistical result paralleled disagreements between human sorters where A, A/B, and B notes were most often misclassified. Moreover, virtually all parameters measured showed significant variation across individuals. Therefore, the particular acoustic cues used in the discrimination of note types and individuals remain unknown, but it is likely that a constellation of features is used rather than one or two particularly salient features.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".