A developmental–contextual model of couple synchrony across adulthood and old age.
Bibliographic record
Abstract
Most theoretical models on social dynamics governing development and health across adulthood and old age rely on a "single-unit" approach. We put forth a developmental-contextual model (CoSynch) that utilizes the concept of synchrony (interdependent fluctuations in physiological states and health behaviors) as a novel way to conceptualize social developmental dynamics. Using the sample case of romantic partners, this model aims for an innovative integration of available findings addressing everyday microsocial dynamics in dyads that contribute to overall partner concordance in health trajectories. Specifically, the model builds on 5 propositions to integrate existing empirical findings and infuse future research. Proposition P1: Synchrony is shaped by closeness and shared contexts; P2: Synchrony in physiology and health behaviors follows a u-shaped curve with younger and older adult couples showing greater synchrony than middle-aged couples, but with greater diversification of synchrony in very old age; P3: Couple synchrony is profoundly shaped by life events; P4: Synchrony is correlated with pertinent individual and dyad characteristics; P5: Effects of everyday couple synchrony accumulate over time, thereby carrying significant implications for the health of all involved parties. We also point to open questions and suggest future directions for applying the model that are going to advance knowledge on the social and health dynamics underlying adult development and aging. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".