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Record W4237156203 · doi:10.46692/9781847426734.008

Welfarisation

2015· other· en· W4237156203 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typeother
Languageen
FieldMaterials Science
TopicMetal Alloys Wear and Properties
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

Welfarisation is another technology of government through which female illicit drug users are governed. It is the process that constructs individuals or groups as needing social support, or that constitutes them as unworthy of it. Governments themselves create welfarisation through the maintenance of structural inequalities, social and economic marginalisation and its ‘management’. Certain ‘needy’ or ‘at-risk’ groups of individuals are targeted for welfarisation or ‘soft policing’ through formal and informal social control mechanisms (Worrall, 2001). Welfarisation is in principle, benevolent, and may involve the provision of support with social funds, housing, training, jobseeking or childcare. It may prove to be a lifeline for some individuals, but programmes of welfare have long been identified as having (darker) mechanisms of surveillance and social control embedded within them. This relates to Foucault's concept of the ‘carceral continuum’ and his view that regulatory techniques permeate ‘a whole series of institutions … well beyond the frontiers of criminal law’ involving doctors, social workers and educators (1991 [1975], p 297). Drawing on Foucault’s work, Cohen (1985, p 3) argues that liberal capitalist countries such as the UK, Canada and the US all have ‘social control systems’ embedded in their programmes of ‘welfare’ and ideologies of treatment. The idea that policies of welfare also operate as mechanisms of control and surveillance particularly over marginalised groups of individuals has been explored and developed by various writers across a range of disciplines and subjects (see Parton, 1991, on child protection; Carlen, 1988, on young women in care; Carrington, 1993, on juvenile girls; Phoenix, 1999, on sex workers). Interventions into the lives of women who use illicit drugs presented as policies and practices of welfare (concerned with their wellbeing) are often experienced as intrusive, coercive and punitive (see Chapter Seven, pp 238–245 and 253–256). Mechanisms of control and surveillance, including practices of welfare, also serve to enforce gendered expectations of behaviour and to reinforce inequalities of gender. The technology of welfarisation is closely related to that of normalisation discussed in the following chapter (see Part Three, pp 142–144). This chapter investigates the surveillance and regulation of drugusing women through welfare and social work policies and practices.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.096
Threshold uncertainty score0.983

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.1140.018

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 head0.033
GPT teacher head0.243
Teacher spread0.209 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2015
Admission routes1
Has abstractyes

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