“Can you hear me?” Investigating the acoustic communication signals and receptor organs of bark beetles
Bibliographic record
Abstract
Many bark beetle (Coleoptera: Curculionidae: Scolytinae) species have been documented to produce acoustic signals, yet our knowledge of their acoustic ecology is limited.In this thesis, three aspects of bark beetle acoustic communication were examined: the distribution of sound production in the subfamily based on the most recent literature; the characteristics of signals and the possibility of context dependent signalling using a model species: Ips pini; and the acoustic reception of bark beetles through neurophysiological studies on Dendroctonus valens.It was found that currently there are 107 species known to stridulate using a wide diversity of mechanisms for stridulation.Ips pini was shown to exhibit variation in certain chirp characteristics, including the duration and amplitude modulation, between behavioural contexts.Neurophysiological recordings were conducted on several body regions, and vibratory responses were reported in the metathoracic leg and the antennae.
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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) | 0.003 | 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 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".