Persistence and abundance of the Western Grebe (Aechmophorus occidentalis) in Alberta
Bibliographic record
Abstract
The Western Grebe (Aechmophorus occidentalis, WEGR) is a Species of Special Concern in Alberta, declining in distribution and abundance. I evaluated how environmental variables including emergent vegetation, human developments, and prey availability affected WEGR persistence and abundance on 43 lakes in Alberta that historically supported WEGR. Persistence and abundance of WEGR were correlated, and both were positively associated with shoreline bulrush (Scirpus lacustris) and human development within a 500m buffer surrounding the lake, while inversely associated with surrounding forest. Bulrush provides important habitat for nesting, and WEGR are likely to occur on the same large fish-bearing lakes that humans prefer for recreation. However, this relationship with development puts grebes at risk for disturbance and habitat loss—a primary threat to endangered birds. I recommend shoreline vegetation be protected for the success of breeding grebes, and human activity around colonies should be kept to a minimum to curb further WEGR decline.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".