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Record W2163121224 · doi:10.4137/cmpsy.s883

Association of Parental Psychiatric Morbidity with their Altruistic Behaviors and Sense of Obligation to Children in the United States

2008· article· en· W2163121224 on OpenAlexaff
Takeo Fujiwara, Cynthia Lee

Bibliographic record

VenueClinical Medicine Insights Psychiatry · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational Family Dynamics and Caregiving
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsGrandparentAssociation (psychology)ObligationFeelingPsychologyPsychiatryDepression (economics)AnxietyClinical psychologyDevelopmental psychologySocial psychologyPsychotherapist

Abstract

fetched live from OpenAlex

Previous studies have suggested that altruistic behaviors for children and grandchildren (ABC) have a complex mechanism for psychiatric morbidity among parents and grandparents. The interaction between ABC and sense of obligation to children/grandchildren (SOC) may help to provide a better understanding of the association between ABC and psychiatric morbidity. In this study, we seek to investigate the association between the interaction of ABC and SOC and generalized anxiety disorder (GAD) and major depression (MD) using a nationally representative sample of middle-aged parents/grandparents in the United States (N = 2,193). Among women, feeling obligated was associated with MD regardless of ABC status. Among men, having SOC and providing informal assistance or financial support was associated with GAD morbidity. Further research that elucidates the complexity of the interaction of ABC and SOC on psychiatric morbidity among parents/grandparents is needed.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
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)0.0010.000

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 head0.026
GPT teacher head0.336
Teacher spread0.310 · 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 source (direct Gemma or distilled Codex), 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

Citations6
Published2008
Admission routes1
Has abstractyes

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