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Record W2512763949 · doi:10.1177/2167696816666974

Changes in Parental Emotional Support and Psychological Control in Early Adulthood

2016· article· en· W2512763949 on OpenAlexaff
Tracy Desjardins, Bonnie J. Leadbeater

Bibliographic record

VenueEmerging Adulthood · 2016
Typearticle
Languageen
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsPsychological controlPsychologyMediationYoung adultAnxietyDevelopmental psychologyMultilevel modelMental healthDepressive symptomsLongitudinal studyClinical psychologyLatent growth modelingMedicinePsychiatry

Abstract

fetched live from OpenAlex

Early adulthood is a critical period during which real-world adjustment sets the stage for lifelong well-being. However, little is known about how the emotional quality of parental relationships may help or hinder adjustment. This longitudinal study investigated (a) changes in mother and father emotional support and psychological control during early adulthood, (b) whether such changes predicted young adults’ educational and occupational adjustment, and (c) whether these associations occurred indirectly through young adults’ depressive and anxiety symptoms. Participants were 240 youth assessed at four time points over a 6-year period. Multilevel modeling showed that on average, parental emotional support increased and psychological control decreased over time. Latent growth curve mediation analyses revealed significant direct associations between parental emotional support and psychological control and adjustment outcomes as well as indirect effects through mental health symptoms. Findings particularly highlight the negative effects of parental psychological control on young adults’ academic and occupational adjustment.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.013
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.023
GPT teacher head0.313
Teacher spread0.290 · 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

Citations57
Published2016
Admission routes1
Has abstractyes

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