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Record W2123144415 · doi:10.1093/bjsw/bct172

Neo-Liberalism and Responsibilisation in the Discourse of Social Service Workers

2013· article· en· W2123144415 on OpenAlexafffund
Linda Liebenberg, Michael Ungar, Janice Ikeda

Bibliographic record

VenueThe British Journal of Social Work · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsDalhousie University
FundersDalhousie UniversityPublic Safety Canada
KeywordsWelfareFront linePublic relationsService (business)Mental healthSocial workSociologyService providerSocial WelfareBusinessPolitical sciencePsychologyMarketingLawPsychiatry

Abstract

fetched live from OpenAlex

In this paper, we explore the ways in which child welfare, adolescent mental health and juvenile justice service providers engage in processes of responsibilisation. Drawing on qualitative data gathered from service files of youth receiving concurrent services from child welfare, corrections and mental health services, this article will discuss how a neo-liberal approach to service is reflected in the case notes of front line staff. Analysis reveals an overarching reliance on discourses of youth responsibilisation in the service files, where the risks which young people are exposed to were perceived as rational choices rather than contextual factors that needed to be accounted for in case management and service plans. Front line workers discussed case plans in terms of youth being willing or unwilling, compliant or non-compliant with regard to programming. This view of youth as autonomous actors had repercussions for youth who did not present as ‘co-operative’ and ‘mature’. The article concludes with a reflection on the role of services in the lives of vulnerable youth and implications for practice.

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)0.031
metaresearch head score (Gemma)0.025
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 score0.031
Threshold uncertainty score0.164

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0310.025
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0300.135
Scholarly communication0.0190.016
Open science0.0020.020
Research integrity0.0070.011
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 head0.028
GPT teacher head0.341
Teacher spread0.313 · 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

Citations125
Published2013
Admission routes2
Has abstractyes

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