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Record W2741698071 · doi:10.1080/10502556.2017.1345243

Group Interventions for Children Having Separated Parents: A Systematic Narrative Review

2017· article· en· W2741698071 on OpenAlexaff
Chiara Fusar Poli, Sara Molgora, Costanza Marzotto, Federica Facchin, Francine Cyr

Bibliographic record

VenueJournal of Divorce & Remarriage · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicFamily Support in Illness
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsNarrativePsychological interventionPsychologyNarrative reviewIntervention (counseling)Inclusion (mineral)Developmental psychologyClinical psychologyPsychotherapistSocial psychologyPsychiatryLinguistics

Abstract

fetched live from OpenAlex

The aims of this article are to review the current body of knowledge on group interventions for children with separated or divorced parents and to provide new insights into the evaluation of their efficacy. This review draws on a method of systematic narrative review (SNR). We provide a narrative synthesis of evidence from 29 studies conducted between 1980 and 2014, which were included in the SNR consistently with the inclusion criteria established. Three dimensions were considered: intervention characteristics, study characteristics, and intervention outcomes (i.e., types of outcomes and efficacy). Our findings showed a general inconsistency among the studies, which was discussed in the light of some important methodological issues.

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)0.018
metaresearch head score (Gemma)0.072
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.018
Threshold uncertainty score0.093

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.072
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.004
Bibliometrics0.0080.006
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0020.002
Research integrity0.0020.002
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 head0.052
GPT teacher head0.400
Teacher spread0.347 · 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 designSystematic review
Domainnot available
GenreReview

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
Published2017
Admission routes1
Has abstractyes

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