Bibliographic record
Abstract
TaE Starling (Sturnus vulgaris) has been the subject of considerable research because it is a common and economically important bird.Important quantitative studies of the Starling's breeding biology have been made in Europe such as those by Kluijver (1935; 1938), Dunnet (1955), and Anderson (1961).Most studies have been summarized by Lack (1948a) and by Kessel (1957).Only two quantitively significant studies have been made so far in North America (McAtee, 1940; Kessel, 1957).This report concerns a three-year study (1956-58) made at the Ontario Agricultural College near Guelph, Ontario.Our chief interest was to gather statistics pertaining to the productivity of a Starling population, but other aspects of the birds' breeding habits were also investigated.The study area was situated six miles southeast of Guelph, Wellington County, Oct. ] COLLINS AI•D DE Vos, Nesting Study o/ Starlings 635 1966 periods of sunshine.We think that the influence of sunshine on the breeding cycle of birds merits more attention.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".