Saskatchewan's Turkey Vulture Wing-Tagging Project- 2009
Bibliographic record
Abstract
The following information may be of interest to any bander interested in enlisting rural residents in nestfinding, to those wishing to learn about the potentials and the downsides of wing-tagging, and to behaviorists interested in a species that has adapted, since 1983 in Saskatchewan, to using deserted buildings as a new and very different but now much preferred nest site.Until the 1980s, most known Turkey Vulture nests in Saskatchewan were in good-sized caves, in the badlands ofthe south, and along major river valleys (see maps in Houston et al. 2007).In 2002, the unprecedented finding of three active Turkey Vulture nests in deserted buildings in the Saskatoon Bird Area, within cropland areas of Aspen Parkland, aroused our interest (Houston et al. 2002).Unable to use aluminum leg bands because vulture excreta hardens around such bands and damages the tarsus (Henckel 1976, Houston and Bloom 2005), the banding office assigned us white alpha-numerics on green Herculite tags (Houston and Terry 2003).The Saskatchewan Turkey Vulture Tagging Project began in 2003.
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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 | 0.001 | 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 | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.047 | 0.019 |
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".