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Record W3206502431 · doi:10.1037/pag0000651

A developmental–contextual model of couple synchrony across adulthood and old age.

2021· article· en· W3206502431 on OpenAlexaff
Theresa Pauly, Denis Gerstorf, Hans‐Werner Wahl, Christiane A. Hoppmann

Bibliographic record

VenuePsychology and Aging · 2021
Typearticle
Languageen
FieldPsychology
TopicMental Health Research Topics
Canadian institutionsUniversity of British Columbia
FundersSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungDeutsche Forschungsgemeinschaft
KeywordsClosenessPsychologyPsycINFODyadInterdependenceSocial partnersDevelopmental psychologyAdult developmentDynamics (music)Cognitive psychologySocial psychologyMEDLINE

Abstract

fetched live from OpenAlex

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).

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.790
Threshold uncertainty score0.505

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.093
GPT teacher head0.447
Teacher spread0.354 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations26
Published2021
Admission routes1
Has abstractyes

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