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Record W4248287795 · doi:10.1093/bjsw/bcab223

Qualitative Studies of Foster Carer Experiences in Providing Out of Home Care for Children: A Scoping Review and Narrative Synthesis

2021· review· en· W4248287795 on OpenAlexaff
Stephanie D’Amato, Keith Brownlee

Bibliographic record

VenueThe British Journal of Social Work · 2021
Typereview
Languageen
FieldSocial Sciences
TopicChild Welfare and Adoption
Canadian institutionsLakehead University
Fundersnot available
KeywordsQualitative researchInclusion (mineral)NarrativeConsistency (knowledge bases)PsychologyTheme (computing)NursingFoster careMedical educationMedicineSocial psychologySociologySocial science

Abstract

fetched live from OpenAlex

Summary In this scoping review, we examined the available qualitative research exploring the experiences of non-relative foster carers providing out of home care for children. Qualitative articles covering the last twenty-five years were extracted from eight databases, Google Scholar and a hand search of the reference sections of identified journals. Using specified inclusion and exclusion criteria, twenty-two articles were retained for analysis. A relatively high degree of consistency was found amongst the studies from a range of countries. Five major themes were identified: Open communication of a child’s needs and behaviours; Full spectrum support; Challenges; Stress; and Rewards. The Challenges theme comprised three sub-themes: Anticipating being a family, Carer bond and loss and Inherent limits of training. The themes reflected by the foster carers encompassed both stresses associated with the challenges of fostering children and personal rewards that encouraged them to begin and maintain their role as carers. The possible implications for practice and further research of the findings are discussed.

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)0.002
metaresearch head score (Gemma)0.002
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: Review · Consensus signal: Review
Teacher disagreement score0.425
Threshold uncertainty score0.758

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.122
GPT teacher head0.457
Teacher spread0.335 · 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
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

Citations11
Published2021
Admission routes1
Has abstractyes

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