Life history and the ecology of stress: how do glucocorticoid hormones influence life‐history variation in animals?
Why is this work in the frame?
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Full frame distilled prediction
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.
- Candidate categories
- none
- Consensus categories
- none
- Domain
- Candidate signal: noneConsensus signal: none
- Study design
- Candidate signal: ObservationalConsensus signal: Observational
- Genre
- Candidate signal: EmpiricalConsensus signal: Empirical
- Teacher disagreement score
- 0.113
- Threshold uncertainty score
- 0.876
- Validation status
machine_predicted_unvalidated·codex-gemma-dda1882f352a
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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)
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
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.
- Teacher spread
- 0.167 · how far apart the two teachers sit on this one work
- Validation status
score_only:v0-immature-baseline· verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it
Abstract
Summary Glucocorticoids hormones ( GC s) are intuitively important for mediation of age‐dependent vertebrate life‐history transitions through their effects on ontogeny alongside underpinning variation in life‐history traits and trade‐offs in vertebrates. These concepts largely derive from the ability of GC s to alter energy allocation, physiology and behaviour that influences key life‐history traits involving age‐specific life‐history transitions, reproduction and survival. Studies across vertebrates have shown that the neuroendocrine stress axis plays a role in the developmental processes that lead up to age‐specific early life‐history transitions. While environmental sensitivity of the stress axis allows for it to modulate the timing of these transitions within species, little is known as to how variation in stress axis function has been adapted to produce interspecific variation in the timing of life‐history transitions. Our assessment of the literature confirms that of previous reviews that there is only equivocal evidence for correlative or direct functional relationships between GC s and variation in reproduction and survival. We conclude that the relationships between GC s and life‐history traits are complex and general patterns cannot be easily discerned with current research approaches and experimental designs. We identify several future research directions including: (i) integration of proximate and ultimate measures, including longitudinal studies that measure effects of GC s on more than one life‐history trait or in multiple environmental contexts, to test explicit hypotheses about how GC s and life‐history variation are related and (ii) the measurement of additional factors that modulate the effects of GC s on life‐history traits (e.g. GC receptors and binding protein levels) to better infer neurendocrine stress axis actions. Conceptual models of HPA /I axis actions, such as allostatic load and reactive scope, to some extent explicitly predict the role of GC s in a life‐history context, but are descriptive in nature. We propose that GC effects on life‐history transitions, survival probabilities and fecundity can be modelled in existing quantitative demographic frameworks to improve our understanding of how GC variation influences life‐history evolution and GC ‐mediated effects on population dynamics
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
The record
- Venue
- Functional Ecology
- Topic
- Animal Behavior and Reproduction
- Field
- Agricultural and Biological Sciences
- Canadian institutions
- The Scarborough HospitalUniversity of TorontoSimon Fraser University
- Funders
- Division of Integrative Organismal SystemsNatural Sciences and Engineering Research Council of Canada
- Keywords
- BiologyLife history theoryLife historyVariation (astronomy)TraitVertebrateEcologyEvolutionary biologyPhenotypic plasticityReproductionZoologyGenetics
- Has abstract in OpenAlex
- yes