The Evolutionary Endocrinology of Circulating Glucocorticoids in Free-Living Vertebrates: Recent Advances and Future Directions across Scales of Study
Bibliographic record
Abstract
Circulating glucocorticoid hormone concentrations are dynamic, flexible, and promote adaptive responses following perturbations in an animal's environment. As a result, circulating glucocorticoid levels are thought to shape fitness and have been suggested to be a key trait for predicting how species will cope with novel environmental change. Nevertheless, the factors that shape variation in glucocorticoid-mediated coping mechanisms remain unclear because the evolutionary underpinnings of the function and regulation of these hormones are poorly understood. Here, I summarize recent advances in our understanding of the evolution of circulating glucocorticoids, which have included (i) longitudinal studies exploring microevolutionary processes that shape within- and between-individual variation in glucocorticoids, (ii) interspecific comparative studies highlighting macro-evolutionary patterns of among-species variation in glucocorticoids, and (iii) intraspecific comparative studies which help to disentangle the relative roles of environment, life-history, and behavior in shaping among-population variation in glucocorticoids. Important avenues for future research will include exploring how natural selection may act on different components of the hypothalamus-pituitary-adrenal axis, characterizing patterns of phenotypic plasticity in circulating glucocorticoids across populations and species, as well as exploring how microevolutionary processes differ across taxa or gradients of environmental conditions.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".