Eastern Bird Banding Association Annual Meeting Minutes 12 Apr 2008
Bibliographic record
Abstract
are also mentioned, although emphasis depends on ease of identification in the field.For example, differences among three Merlin races are considered in detail, whereas Krider's is the only regionally distinct Red-tailed Hawk race considered in detail , presumably because of the complexity of the array of variation within and between other races, this array being emphasized in non-racial terms . .The statement (p. 1 03) that Merlins are more likely than other falcons to harass other raptors may be true, but my observations at Vancouver International Airport would suggest that Peregrines do so more often-possibly a distortion of sample size. Eastern Bird Banding AssociationAs emphasis in this book is on identification at a distance, its value to banders is primarily in helping to hone identification skills generally.Hawk watchers and others who wish to increase their identification skills at considerable distances will find it a valuable reference tool.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.476 | 0.393 |
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".