Reproductive consequences of migration decisions by Ipswich Sparrows (Passerculus sandwichensis princeps)
Bibliographic record
Abstract
The costs and benefits associated with migration differ depending on individual decisions regarding the distance to migrate and where to winter. These decisions affect an individual’s winter experience, which may in turn impact reproductive success the following breeding season. We investigated whether winter location influences performance on the breeding grounds in a short-distance migrant, the Ipswich Sparrow ( Passerculus sandwichensis princeps Maynard, 1872), endemic to Sable Island, Nova Scotia, Canada. We used stable hydrogen isotope analysis to infer the winter location of individuals breeding on Sable Island, and investigated whether body condition, timing of breeding initiation, and number and condition of nestlings varied with winter location. Males wintered farther north than females, and males from the northern end of the wintering range were in better condition, established territories earlier, and tended to produce heavier nestlings than those wintering farther south. Conversely, females that wintered farther south had significantly earlier first egg dates than those that wintered farther north. The results of this study suggest that individual decisions about migration distance can impact reproductive success and that optimal winter locations differ between male and female Ipswich Sparrows.
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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".