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Record W803642221

Looking for Children: An Alternative Crown Ward Review

2013· dissertation· en· W803642221 on OpenAlexaboutno aff
Chisholm M Susan Clowes

Bibliographic record

VenueMacSphere (McMaster University) · 2013
Typedissertation
Languageen
FieldEconomics, Econometrics and Finance
TopicNew Zealand Economic and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCrown (dentistry)MedicineDentistry
DOInot available

Abstract

fetched live from OpenAlex

As child welfare practice in Ontario attempts to move toward increased partnerships with families, and recognition of the ways in which social work is implicated in perpetuating marginalities through the application of an anti-oppressive lens, direct social work practice with children lacks a similar critical discourse. Social work practice with children in care in Ontario occurs in the context of a guided practice model, Looking After Children, and within numerous audited standards and compliances. It is a bureaucratic and managerial environment which can constrain the social work agenda with children whose voices are easily silenced. This qualitative research study looks at the plans of care or social work recording for 10 Crown Wards in Ontario, in a search for a ‘real child.’ A critical analysis revealed that children are known in the recordings created about them in limited and prescribed ways. A “looked after” child is revealed: a child known according to the specific developmental dimensions of the Looking After Children model, and within “compliant” social work practice. What is lost is a child who exists in their child welfare record, in all of their complexities, contexts and relationships, while the social work relationship is rendered invisible.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.896
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0390.001

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 head0.024
GPT teacher head0.218
Teacher spread0.194 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2013
Admission routes1
Has abstractyes

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