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Record W2062189684 · doi:10.1300/j087v48n01_02

Risk and Resilience Factors Linked with the Psychosocial Adjustment of Adolescents, Stepparents and Biological Parents

2007· article· en· W2062189684 on OpenAlexaff
Julie Gosselin, Hélène David

Bibliographic record

VenueJournal of Divorce & Remarriage · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicFamily Dynamics and Relationships
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsStepfamilyPsychologyPsychosocialRemarriageDevelopmental psychologyPsychological resilienceRespondentInterpersonal communicationPartner effectsBiological sexClinical psychologySocial psychologyPsychiatry

Abstract

fetched live from OpenAlex

Using data from three members (adolescent, stepparent and biological parent) of eighty (80) stepfamilies, the effects of individual, interpersonal and systemic factors in each member's psychosocial adjustment were examined. Using a risk and resilience framework, the primary objective addressed whether different factors would influence each type of stepfamily members' adjustment in similar or different ways. Multiple regression results showed that each stepfamily member's adjustment is affected by both factors shared by all three members, such as the quality of communication and the length of cohabitation, and factors unique to their position in the family, such as parent-child alliances, age and sex of respondent. Results also highlighted the role of reciprocity, contradiction and bi-directional effects in the psychosocial adjustment of stepfamily members.

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)0.004
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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.020
GPT teacher head0.287
Teacher spread0.268 · 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

Citations37
Published2007
Admission routes1
Has abstractyes

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