Behaviours influencing the distribution of great blue herons (ardea herodias fannini) in the strait of Georgia, British Columbia
Bibliographic record
Abstract
The Great Blue Heron (Ardea herodias fannini), a nonmigratory subspecies endemic to the Pacific Northwest of North America, is COSEWIC-listed in Canada as a species of 'special concern'. The Breeding Bird Survey (BBS), conducted since 1969, indicate an ongoing decline in numbers. Recent findings show that nest and colony abandonments are common, and are strongly associated with disturbance by bald eagles (Haliaeetus leucocephalus). Vanishing bearings of herons departing foraging sites were strongly associated with colony locations, and led to the discovery of small, previously unknown colonies. A probabilistic model predicted that dispersed nesting offers increased nestling safety under high eagle depredation. Ideal free distributions accounting for colony locations as well as foraging-site size and quality best matched the observed distribution of foraging herons. These findings support the hypothesis that great blue herons have redistributed into smaller, more widely-scattered colonies as eagle numbers have recovered over recent decades.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".