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Record W2589398123 · doi:10.1177/0165025416679742

We are in this together

2017· article· en· W2589398123 on OpenAlexaff
Jenny Wagner, Manuel C. Voelkle, Christiane A. Hoppmann, Mary A. Luszcz, Denis Gerstorf

Bibliographic record

VenueInternational Journal of Behavioral Development · 2017
Typearticle
Languageen
FieldPsychology
TopicAging and Gerontology Research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPsychologySelf-esteemDevelopmental psychologyLongitudinal studyPerceptionLife satisfactionLife course approachSocial psychology

Abstract

fetched live from OpenAlex

Lifespan theoretical notions have long acknowledged that regulative capacities of the self are relatively robust well into old age. This general trend notwithstanding, people often differ substantially throughout life in their levels of and change trajectories in self-esteem. One prime contributing factor may be perceptions of social inclusion. Because functioning and development in many domains of life are often linked across partners, we examine whether and how self-esteem and its late-life change are intertwined between long-term married partners. To do so, we make use of six occasions over 18-year longitudinal data from 382 married couples in the Australian Longitudinal Study of Aging ( M age = 75 years at baseline, SD = 5.3, range 65–91). Applying SEM-based continuous time panel models revealed that discrete time autoregressive effects, which capture the stability of self-esteem, were declining over time. Most important for our question, across-partner (cross-lagged) effects indicated substantial differences between spouses such that change in husbands’ self-esteem predicts subsequent changes in the wives’ self-esteem, but not vice versa. We discuss potential conditions and challenges of dyadic associations in how late-life self-esteem and its change are intertwined between partners.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.189
Threshold uncertainty score0.998

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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.134
GPT teacher head0.467
Teacher spread0.333 · 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.

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

Citations17
Published2017
Admission routes1
Has abstractyes

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