Bibliographic record
Abstract
oosing is a well known means of capturing birds for banding and marking, although noose designs and capture techniques vary widely (see McNicholl 1983).The noosing technique reported here was used to capture adult Great Cormorants (Phalacrocorax carbo) at a breeding colony on Prince Edward Island, during a study of breeding parameters of this species and Double-crested Cormorants (P.auritus) from 1976 to 1979 (Hogan 1979).According to Lewis (1929), Double-crested Cormorants were captured for food by Indians with nooses, and adult Pelagic Cormorants (P.pelagicus) have been captured with padded leghold traps (Tenaza 1966).Great Cormorants in North America breed in colonies on seacliff ledges, on the level ground at the tops of cliffs, or on small, coastal islands.They rarely nest in trees (Godfrey 1966, pers.obs.), a habit common to other races of this widespread species elsewhere (Cramp and Simmons 1977).While they often nest apart from other species, they occasionally share nesting colonies with Double-crests.Between 1976 and 1979 there were 6 Great Cormorant colonies on Prince Edward Island containing a maximum 738 nests (Hogan 1979).By 1983 there were 8 colonies containing 1324 nests (Hogan 1983).All colonies are on sandstone seacliffs ranging in height from 6 to 33 m.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".