Bibliographic record
Abstract
Penenirmus auritus (Scopoli, 1763) Pediculus auritus Scopoli, 1763: 383. Philopterus auritus Scopoli, 1763 [sic]; Harrison 1916: 11, 88. Penenirmus auritus (Scopoli, 1763); Clay & Hopkins 1951: 14, figs 19–20. Penenirmus auritus auritus (Scopoli, 1763); Emerson & Johnson 1961: 35. Penenirmus auritus (Scopoli, 1763); Dalgleish 1972: 88, figs 1–2, 11, 15–16. Penenirmus auritus (Scopoli, 1763); Price et al. 2003: 209. Penenirmus auritus (Scopoli, 1763); González-Acuña et al. 2014: 110, figs 1–12. Neotype ♂ in NHML (see Clay & Hopkins 1951: 15). Type host: Picoides major pinetorum (Brehm, 1831). Chilean host: Colaptes pitius (Molina, 1782). Other hosts: Fifty-one species distributed in the genera Celeus, Colaptes, Dendropicos, Dryocopus, Eubucco, Melanerpes, Picoides, Piculus, Picus, Sphyrapicus and Veniliornis (see Price et al. 2003: 209). Chilean locality: Coyhaique: Region XI. Geographic distribution: Eurasia; North, Central and South America. Chilean reference: González-Acuña et al. (2014). Other significant references: Clay & Hopkins (1951); Emerson & Johnson (1961); Dalgleish (1972); Price et al. (2003); Galloway & Lamb (2016). Remarks: González-Acuña et al. (2014: 114) noted that Price et al. (2003: 210, 365) listed Penenirmus jungens (Kellogg, 1896b) under Colaptes pitius, opening the possibility that the Chilean population of this host may harbour both species of Penenirmus. Galloway & Lamb (2016) provided ecological data on Penenirmus auritus collected from four species of woodpeckers in Manitoba, Canada.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.026 | 0.011 |
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".