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Record W2794079255 · doi:10.18357/ijcyfs91201818125

(YOU GOTTA HAVE) FRIENDS: CARE LEAVING, FRIENDSHIPS, AND AGENCY INTERVENTION

2018· article· en· W2794079255 on OpenAlexafffundvenue
Varda Mann-Feder

Bibliographic record

VenueInternational Journal of Child Youth and Family Studies · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicChild Welfare and Adoption
Canadian institutionsConcordia University
FundersConcordia University
KeywordsIntervention (counseling)FriendshipPsychologyQualitative researchAgency (philosophy)Peer mentoringDevelopmental psychologyPerceptionFoster careFocus groupPresentation (obstetrics)Positive Youth DevelopmentNursingMedicineSocial psychologySociologyPsychiatry

Abstract

fetched live from OpenAlex

This article is based on a presentation at FICE Austria in 2016 that reported on the findings of a qualitative study that explored the perceptions of friendships held by young people in and formerly in care. Eleven young people from the care system and three frontline child and youth care workers were interviewed with a focus on the effects of out-of-home placement on the development of peer relationships. Results suggest that there are significant obstacles to the development of age-appropriate friendships both within the care system and between youth in care and their community peers. These findings are discussed in light of the evidence that friendships are critical for healthy development and can serve as a buffer against stigma for youth who have been placed in out-of-home care. The study reported here is part of a larger program of research, the goal of which is to identify protective mechanisms or developmental assets in the transition to adulthood that could be better cultivated for youth aging out of placement.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.262
Threshold uncertainty score0.365

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.033
GPT teacher head0.342
Teacher spread0.309 · 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 teacher head, 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

Citations16
Published2018
Admission routes3
Has abstractyes

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