Infestation parameters for chewing lice (Phthiraptera: Amblycera, Ischnocera) parasitising true thrushes (Aves: Passeriformes: Turdidae) in Manitoba, Canada
Bibliographic record
Abstract
Abstract Seven species of Turdidae (Aves: Passeriformes) in Manitoba, Canada were examined for chewing lice (Phthiraptera) in 1993–2019: Turdus migratorius (N = 570), Catharus ustulatus (N = 135), Catharus guttatus (N = 49), Catharus minimus (N = 12), Catharus fuscescens (N = 1), Sialia sialis (N = 4), and Sialia currucoides (N = 3). Five species of lice on T. migratorius had a prevalence of 24.0% and a mean intensity of 16.7. Overall prevalence for lice on C. ustulatus, C. guttatus, and C. minimus was 25.0%–59.2%; mean intensity was 7.0–23.3. On S. sialis, the prevalence was 50.0%; mean intensity was 10.0. No lice infested C. fuscescens or S. currucoides. Infestation parameters for each louse–host combination are provided. Louse infestations were highly aggregated. Female lice were more prevalent than males, especially for Ricinus elongatus (Phthiraptera: Amblycera: Ricinidae) infesting T. migratorius (eight males; 81 females), or there was no significant deviation from 50:50. Infestation parameters were higher for adult T. migratorius than for juveniles or feathered chicks but not significantly so. Mean intensity was greater in spring than in fall. Louse abundance was lower than on hosts of similar size in Manitoba and lower than on thrushes in other studies.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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".