HOME-RANGE CHARACTERISTICS, AGE, BODY SIZE, AND BREEDING PERFORMANCE OF FEMALE MALLARDS (ANAS PLATYRHYNCHOS)
Bibliographic record
Abstract
Understanding reproductive and survival consequences of space use is of general interest to ecologists and vital to successful conservation planning. Hypothesized effects of home-range habitat composition and female attributes on these vital rates have not been adequately evaluated in breeding female Mallards (Anas platyrhynchos). Thus, we investigated reproductive and survival consequences of home-range variability and individual characteristics for 126 female Mallards studied on 12 study areas in the Canadian prairie parklands, 1995–1998. We used nine variables to discriminate between three reproductive categories (females that did not nest, nested but failed, or nested successfully) and two survival categories (killed by predator and survived the nesting season). Discriminant function analysis separated females that nested successfully from those that did not, with successful females having higher percentages of wood-shrub and planted grass habitat within their home ranges, a lower percentage of seasonal and semipermanent wetlands, smaller home-range sizes, and a higher percentage of wetlands at the study-area scale. We also distinguished females that did not nest from failed nesters; females that did not nest were younger and smaller and had larger home-range sizes, with a higher percentage of seasonal and semipermanent wetlands. Females that were killed did not differ from nesting-season survivors of either individual or home-range characteristics. Características del Rango de Hogar, Edad, Tamaño Corporal y Desempeño Reproductivo de las Hembras en Anas platyrhynchos
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".