Intergenerational predictors of diurnal cortisol secretion in early childhood
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract The present study examined potential intergenerational links that may contribute to atypical patterns of diurnal cortisol secretion in early childhood. Salivary cortisol samples were collected across 1 waking day in 36 pre‐school children whose mothers are participants in an ongoing longitudinal project. Hierarchical Linear Modeling (HLM) identified statistically significant predictors of individual differences in daily cortisol trajectories. Children displayed relatively low post‐awakening values and flatter cortisol trajectories across the day as a function of unsupportive maternal behaviour, second‐hand smoke and maternal histories of social withdrawal in childhood. These results suggest that individual differences in young children's pattern of diurnal cortisol are associated with a variety of current and historical maternal characteristics and behaviours. The identification of intergenerational predictors of children's diurnal neuroendocrine functioning may provide new insights into the transfer of health and developmental risk from parent to child. Copyright © 2007 John Wiley & Sons, Ltd.
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.
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 it