The European Ornithologists' Union and the New Journal Avian Science (announcement)
Bibliographic record
Abstract
Rail "raw" if it was determined that a certain call was made by that species (Kellogg 1962).Hearing that Kickers were calling in Saskatchewan, Archie Hagar made the journey in 1964, and at 4:00 AM on the 6th of July, found a male Virginia Rail giving the kicker notes (Callin 1968).A series of other short papers in the late 1960s and early 1970s (e.g.Bollinger and Bowes 1973) directly linked the kicker call to Virginia Rail, smugly stating that the mystery was solved.But wait, it turns out that many members of the genus Rallus give the kicker call in some form or another, including Clapper (R. Iongirostris) and King (R. elegans) rails and even the Eurasian Water Rail (R. aquaticus), although the function of the call remains obscure (Manolis 1981).So, what species did Brewster and his friends really hear? "Probably" a Virginia Rail (Veit and Petersen 1993).
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.181 | 0.101 |
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".