Cattle egrets and nests found during Franklin's gull surveys in Saskatchewan in 2006 and 2007
Bibliographic record
Abstract
The Cattle Egret occurs with some regularity in prairie Canada and the first recorded observation of Cattle Egrets in Saskatchewan was 14-17 June 1974 at Eyebrow Lake.6-8 The first breeding record for Saskatchewan, 30 June 1981, was a pair nesting in a tree in a heronry occupied by Great Blue Herons and Black-crowned Night-Herons on Old Wives Lake.4'7i 8 The second breeding record was at Eyebrow Lake in 1994.8 In 2005, a pair of Cattle Egrets displaying breeding behaviour was observed on 4 June at Stalwart Marsh National Wildlife Area (NWA) near Last Mountain Lake (Dave Duncan, Canadian Wildlife Service (CWS), pers. comm.). Phil Taylor (CWS, pers. comm.), confirmed breeding on 7 June at Stalwart Marsh NWA with the discovery of four nests perched in the Common Reed Grass and bulrush
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".