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Record W2974981793

Examining the experience of the Aboriginal Justice Inquiry-Child Welfare Initiative process: a case study examining the clients' perspective

2012· dissertation· en· W2974981793 on OpenAlexaboutno aff
Jolene Cameron

Bibliographic record

VenueMspace (University of Manitoba) · 2012
Typedissertation
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsWelfarePerspective (graphical)Economic JusticePolitical scienceProcess (computing)PsychologySociologyLawComputer science
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this study has been to explore the experience of parents who were part of the Aboriginal Justice Inquiry–Child Welfare Initiative (AJI-CWI). This restructuring of the child welfare system in Manitoba was the first of its kind in Canada. To date, no research has been done which explores the clients’ experience of this restructuring. This research was done using an Indigenous perspective and a qualitative and quantitative methodology and case study. Three themes were identified and discussed: Love, Trust, and Trauma. The research findings suggest that the AJI-CWI was an important and necessary change to the child welfare system for Aboriginal people in Manitoba. However, systemic issues which have been in existence since before the restructuring occurred, continue to affect the way in which child welfare services are delivered. Recommendations for child welfare practitioners, future research, policy, and education 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 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)0.009
metaresearch head score (Gemma)0.013
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 score0.988
Threshold uncertainty score0.171

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0280.017
Scholarly communication0.0070.003
Open science0.0030.008
Research integrity0.0030.006
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 head0.043
GPT teacher head0.325
Teacher spread0.283 · 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
Published2012
Admission routes1
Has abstractyes

Explore more

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