Embryonic Brain Growth in Two Shorebirds: Charadrius vociferus and Gallinago gallinago
Bibliographic record
Abstract
The sizes of six brain regions and of the whole brain were measured for a series of embryonic killdeer, Charadrius vociferus, and common snipe, Gallinago gallinago, to examine (1) the allometric relationship between whole brain and body mass through ontogeny, (2) whether the longer incubation period of the killdeer corresponds to a larger brain at hatch, (3) whether different brain regions grow independently in size through ontogeny, and (4) whether relative size of particular brain regions relates to relative importance of hatching behavior or to the relative importance of behaviors in the adult. Although snipe are generally less precocial at hatch than killdeer, and hence are predicted to have lower allometric coefficients, the allometric relationships between brain and body mass for the two species were not significantly different and were comparable to those for other birds and mammals. The onset of the rapid growth phase of the whole brain, and each region, was very early in the snipe; as a consequence, brain sizes in both species are similar at hatch, despite the shorter incubation period of snipe. In hatchlings of both species, the brain comprises about 7% of body mass. The telencephalon grows most rapidly, the diencephalon and myelencephalon grow more slowly, and the optic tectum grows steadily throughout the embryonic period. The telencephalon of the hatchling snipe is relatively larger than that of hatchling killdeer and exhibits a large nucleus basalis, typical of tactile foragers, although snipe do not forage tactily until adulthood. The relatively large optic tectum of hatchling killdeer corresponds to the highly visual method of foraging of hatchlings. However, the degree to which brain regions grow in the embryonic period, with the exception of the optic tectum and cerebellum in killdeer, appears to relate very closely to their eventual size in adults, with large brain regions growing less in the embryonic period than small brain regions.
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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 | 0.001 | 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".