MétaCan
Menu
Back to cohort
Record W7117505426 · doi:10.1371/journal.pone.0338574

“Finally my turn to write my story”: A convergent mixed methods study exploring the perceptions and experiences of emerging adults who aged out of foster care in Canada

2025· article· en· W7117505426 on OpenAlexafffundabout
Brianna Jackson, Margaret L. Holland, Victoria Smye, Sarah Lowe, Lois S. Sadler

Bibliographic record

VenuePLoS ONE · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicChild Welfare and Adoption
Canadian institutionsWestern University
FundersCanadian Institutes of Health ResearchRaymond and Beverly Sackler Institute for Biological, Physical and Engineering Sciences, Yale UniversityPhilanthropic Educational OrganizationYale University
KeywordsTransformative learningPsychological interventionPerceptionMental healthHealth careFoster careKey (lock)

Abstract

fetched live from OpenAlex

BACKGROUND: Each year, thousands of young Canadians 'age out' of foster care on or before their 19th birthday. This abrupt transition to independence coincides with emerging adulthood (ages 18-29), a developmental period associated with transformational changes, including new or worsening mental health challenges. OBJECTIVE: The purpose of this study was to understand how emerging adults, who aged out of foster care in Canada, navigated their transition to independence, and specifically, how experiences of structural violence encountered pre- and post-emancipation may have influenced their mental health and capacity for positive adaptation. PARTICIPANTS AND SETTING: 203 emerging adults from across Canada took part in the quantitative arm of this study, with a subsample of 31 participants enrolled in the qualitative arm. Virtual methods (online survey and video conferencing) supported remote participation. METHODS: A convergent mixed methods design involved concurrent quantitative and qualitative data collection and analysis, followed by integration of emergent findings. The quantitative arm of the study consisted of an electronic questionnaire including sociodemographic characteristics, foster care histories, and ten validated measures. The qualitative arm involved virtual semi-structured interviews regarding participants' transition to independence upon aging out of care, including experiences and perceptions of structural violence, mental health challenges, and positive adaptation. RESULTS: Correlation analyses and regression modelling revealed relationships between and among structural violence, mental health challenges, and positive adaptation in this population. Nine qualitative themes uncovered the contextual nuances of participants' transition to independence. Two joint displays were developed to visually represent the integration of quantitative and qualitative data. CONCLUSIONS: By exploring this clinical issue from a combined socioecological, temporal, and intersectional perspective, key findings reflect its complexity, nuance, and transformative capacity. Integrated data may suggest approaches for future development of interventions to address the unique mental health care needs of this population.

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 score0.675
Threshold uncertainty score0.746

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 head0.054
GPT teacher head0.321
Teacher spread0.267 · 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

Citations1
Published2025
Admission routes3
Has abstractyes

Explore more

Same venuePLoS ONESame topicChild Welfare and AdoptionFrench-language works237,207