Purple martin (Progne subis) movement ecology during three stages of the annual cycle
Bibliographic record
Abstract
Avian aerial insectivores are experiencing drastic declines in Canada. While there are likely multiple contributing causes of decline, the main driver or whether there is a main driver is unknown. The purple martin (Progne subis) is North America’s largest swallow, breeding in North America from southern Canada to Mexico and overwintering in South America, primarily in Brazil. The purple martin is a colonial species; it roosts in large numbers and breeds in colonies using mainly artificial nest boxes. My thesis seeks to study important periods in the annual cycle of the purple martin to better understand its decline, especially the disproportionately strong decline in the northeast. Chapter 1 examines foraging behaviour of both breeding and wintering purple martins using GPS biologgers. Foraging range is much larger for overwintering birds compared to breeding birds as breeding birds are constrained by the need to feed their nestlings, and, during both periods of the annual cycle, purple martins select water-based habitats. Chapter 2 studies the breeding success of purple martins in southern Quebec and juvenile dispersal using radio telemetry. Reproductive success in Quebec is comparable to other parts of North America, and departure of fledglings from the colony is predicted by lay date as well as habitat characteristics. Conservation efforts for the purple martin, in addition to current efforts managing nest boxes for the species, should be focused on preserving wetland and open water habitats for this species, especially during the post-fledging period
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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".