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Record W2805914052 · doi:10.1080/03004430.2018.1479696

Resilience and vulnerability for children residing in foster care: a qualitative study conducted in Brazil

2018· article· en· W2805914052 on OpenAlex
Alex Sandro Gomes Pessoa, Linda Liebenberg, Débora Belizário da Fonseca, Jaqueline Knupp Medeiros

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEarly Child Development and Care · 2018
Typearticle
Languageen
FieldPsychology
TopicResilience and Mental Health
Canadian institutionsDalhousie University
Fundersnot available
KeywordsVulnerability (computing)Qualitative researchPsychologyReflexivityPsychological resilienceContent analysisFoster careSemi-structured interviewSpace (punctuation)Qualitative propertyData collectionGirlDevelopmental psychologySociologySocial psychologyNursingSocial scienceMedicine

Abstract

fetched live from OpenAlex

This article aims to analyze the indicators of vulnerability present in foster care institutions, as well as the protective resources that may be associated with resilience processes of children who are living in such institutions. Using a qualitative approach, the fieldwork was conducted in two foster care institutions located in a medium-sized city in São Paulo state, Brazil. The participants included six children, between four and nine years old, one of which was a girl. Three strategies were used for data collection: semi-structured interviews, elicitation interviews using drawings created by the children themselves, and reflexive interviews. All interviews were digitally recorded, fully transcribed, and analyzed using content analysis. Five themes emerged from the analysis and findings show that foster care institutions appear to occupy an ambiguous space in the lives of the children, where they simultaneously receive support but also continue to have disempowering and harmful experiences.

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.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.274
Threshold uncertainty score0.599

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.030
GPT teacher head0.406
Teacher spread0.376 · 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