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Young People Transitioning From Out-Of-Home Care (OOHC) in the State of Victoria

2025· book-chapter· en· W4415102715 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicChild Welfare and Adoption
Canadian institutionsnot available
Fundersnot available
KeywordsState (computer science)Social careSocial policyPublic policyGovernment (linguistics)Public involvementLong-term care

Abstract

fetched live from OpenAlex

Abstract Young people transitioning from forms of out-of-home care (OOHC), such as foster, kinship, and residential group home care (known as care leavers), are globally a vulnerable group. Many experience volatile transitions to adulthood, resulting in limited life chances. A disproportionate number of care leavers in Australia come from First Nations backgrounds, which is also the case for this cohort in Canada and New Zealand. There has been long-standing public awareness in Australia of care leaver disadvantage, and considerable research evidence as to the failures of existing policies, and the urgent need for policy and practice reform. Multiple studies have demonstrated that it is inadequate to cease financial support to these youth once they turn 18 years and to expect them to suddenly transition to self-reliant adulthood without any of the ongoing family and social supports that most of their noncare peers access until at least 25 years of age. Yet it was only in response to the Home Stretch advocacy campaign that all eight Australian States and Territories finally introduced (by the end of 2022) extended care supports to care leavers till 21 years of age. Drawing on my 25 years of engagement in care leaver research, this chapter critically examines the social and economic arguments that were used by governments over three decades to delay reform and details the contrasting evidence presented in favor of policy change. It then analyzes the key strategies used by the Home Stretch campaign and explains why they succeeded when earlier advocacy activities had failed.

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 score0.807
Threshold uncertainty score0.388

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.012
GPT teacher head0.256
Teacher spread0.243 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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