MétaCan
Menu
Back to cohort
Record W2885300955 · doi:10.1177/1468017318793619

Youth perspectives on parents’ involvement in residential care in Israel

2018· article· en· W2885300955 on OpenAlexaboutno aff
Yafit Sulimani‐Aidan, Yuval Paldi

Bibliographic record

VenueJournal of Social Work · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicChild Welfare and Adoption
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)PsychologyExploratory researchDevelopmental psychologyResidential careMedicineClinical psychologyNursing

Abstract

fetched live from OpenAlex

Summary This exploratory study deals with biological parents’ involvement in residential placement in Israel from the point of view of 79 youth who left care. It presents youth’s retrospectives on their parents’ involvement in care and the degree to which the placement staff involved parents in reality. The youth functioning while in care and after leaving were also examined according to their parents’ involvement. Findings Results show that only a quarter of the youth reported that staff involved their parents on a regular basis. T-tests and chi square tests showed significant differences in functioning between young adults with high and low parental involvement. Youth whose parents were more involved had better educational achievement in care and after and reported significantly lower involvement in risky behaviors than those with lower parental involvement. However, no group differences were found regarding outcomes in adjustment to military service and financial status. Applications The findings emphasize the gaps in parental involvement in care by staff and the potential contribution of engaging biological parents in the lives of their children while in care and toward emancipation.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0020.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.310
Teacher spread0.287 · 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 designQualitative
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

Citations10
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Social WorkSame topicChild Welfare and AdoptionFrench-language works237,207