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Record W2046088617 · doi:10.1080/03124071003717655

Power and Child Protection: The Need for a Child Welfare Service Users' Union or Association

2010· article· en· W2046088617 on OpenAlexaffabout
Gary C. Dumbrill

Bibliographic record

VenueAustralian Social Work · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsMcMaster University
Fundersnot available
KeywordsIntervention (counseling)Social workService (business)WelfareAssociation (psychology)Child protectionSocial WelfareFocus groupParticipatory action researchSet (abstract data type)PsychologyPublic relationsMedicineNursingPolitical scienceBusinessEconomic growthMarketingComputer scienceEconomicsPsychotherapistLaw

Abstract

fetched live from OpenAlex

Abstract This paper reports a study in which parents who had received child protection intervention set out to develop a “Service Users' Guide” to help parents newly receiving intervention better understand and cope with the process. The study took place in Ontario, Canada between 2004–2009. Ninety-five parents took part in 13 focus groups and 20 individual interviews. A mix of Participatory Action and grounded theory methods were used to enable parents to develop their service uses guide. As the study progressed it quickly became evident that the biggest issue parents face when receiving intervention is an imbalance in power between themselves and workers. This paper describes the problems this power imbalance causes for parents and presents a potential solution suggested by parents themselves – the development of a child welfare service users' association or union. Parent's ideas about why this association is needed, how it could function, and the benefits it might bring, are discussed. The paper concludes by reviewing the benefits a service users' association might bring not only for those receiving child welfare intervention, but all social work services.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.922
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0110.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.029
GPT teacher head0.327
Teacher spread0.298 · 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
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

Citations44
Published2010
Admission routes2
Has abstractyes

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