Maternal resource variation across the laying sequence in Canada geese <i>Branta canadensis maxima</i>
Bibliographic record
Abstract
Variation in maternal investments to offspring presumably reflects an optimization of resource allocation such that a female's fitness is maximized. In birds, both egg size and yolk constituents are examples of resources that can vary among offspring within a clutch. Egg size and maternally‐derived steroid hormone concentrations present in yolk have been characterized for many species that lay small clutches or have altricial young, but little information is available for species that lay moderate to large clutches of precocial young. In this study, we recorded laying position, measured fresh egg mass and determined maternally‐derived testosterone and estradiol concentrations present in yolks for whole clutches of free‐living Canada geese Branta canadensis maxima to assess variation in maternal resources within clutches. We found that egg size varied non‐linearly across the laying sequence such that first laid eggs were small, the largest eggs in the clutch occurred in the second and third positions, and size declined in eggs laid in subsequent positions. Concentration of testosterone in the yolk followed a pattern in which the first and second laid eggs have the highest concentrations within a clutch and declining concentrations in subsequently laid eggs. In contrast, maternally‐derived yolk estradiol concentrations (measured in a subset of clutches) did not change across the laying sequence.
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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".