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Record W2028215616 · doi:10.1002/yd.202

Transition without status: The experience of youth leaving care without Canadian citizenship

2007· article· en· W2028215616 on OpenAlexaffabout
Francis G. Hare

Bibliographic record

VenueNew Directions for Youth Development · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicChild Welfare and Adoption
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsDeportationCitizenshipCriminologyTransition (genetics)ImmigrationPolitical sciencePsychologySociologyLaw

Abstract

fetched live from OpenAlex

The origins of the project reviewed in this chapter lie in discussions with a Toronto agency that has a mandate to serve youth in transition from the care of the Children's Aid Society. This service system, also known in various jurisdictions as child welfare, child protection, or foster care, includes among its clients children and youth who are living in Canada without legal Canadian status. This could have occurred because the child arrived alone and was taken into care on arrival or because the child arrived with a family but was taken into care before status was obtained. While the child is in care, this lack of status is relatively inconsequential in that health, educational, and other services are provided through the Children's Aid Societies. Once the transition is made from care, the youth's vulnerability increases dramatically if legal status has not been obtained. Health services, educational opportunities, and legal employment are often beyond reach, and the youth is subject to deportation. The major objectives of the project were to explore the national and international literature to discover the dimensions of this issue, interview youth and service providers to gain insight into their experience, and discover ways to minimize the number of youth who leave care without having obtained status.

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)0.004
metaresearch head score (Gemma)0.005
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.073
Threshold uncertainty score0.381

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0480.015
Scholarly communication0.0080.003
Open science0.0030.009
Research integrity0.0020.007
Insufficient payload (model declined to judge)0.0030.000

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 head0.037
GPT teacher head0.297
Teacher spread0.260 · 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

Citations9
Published2007
Admission routes2
Has abstractyes

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