Two studies of larids on Prince Edward Island
Bibliographic record
Abstract
Little is known about the chewing louse community of ring-billed gull (Larus delawarensis) chicks, or about the effects of the lice on that species. Chewing lice are relatively benign parasites but they can have a detrimental effect on their host, largely by decreasing feather mass, which can increase metabolic rate and thermal conductance. l investigated the effects of chewing lice on ring-billed gull chicks by testing for a relationship between louse load and stress and between louse load and cell-mediated immunnocompetence. To assess stress level I determined heterophil:lymphocyte ratios. I assessed cell-mediated immune response by performing PHA skin tests. Louse loads were found by dust-ruffling the chicks. Total louse load was not related to either stress or cell-mediated immune response. Three species of chewing lice were found on the chicks and lice were removed from approximately 97% of the chicks. Common tems (Sterna hirundo) are long-lived seabirds that can permanently abandon breeding nests, and even chicks, when disturbed. I investigated whether or not a fireworks display in Charlottetown Harbor was disturbing a nearby common tern colony and causing reproductive failure. I monitored feeding rate and panic flight rate in the pre-fireworks and post-fireworks period and did not find any significant change in behavior. The terns did not abandon and there was reproductive success.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".