Effects of anthropogenic noise on communication in dark-eyed juncos (Junco hyemalis)
Bibliographic record
Abstract
Noise pollution has numerous consequences for wildlife, including the disruption of acoustic communication through its impacts on signal production, signal transmission, and signal perception. In this thesis, I demonstrated, using complementary correlational and experimental approaches, that dark-eyed juncos (Junco hyemalis) increase the frequency of their songs in response to noise. Next, I broadcasted noise-altered and unaltered songs in noisy and quiet environments and re-recorded them along a 40-m transect, with microphones set up at 1, 5, 15, and 40 m. I measured song degradation along the transect and found that songs degraded predictably with increasing distance, but that recording environment (noisy or quiet), playback environment (noisy or quiet), and the interaction between the two had no effect on song degradation. This indicates that, although juncos increase the minimum frequency of their songs in response to noise, the shift does not, by itself, increase the transmission of the song through noise.
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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 | 0.000 |
| 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 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".