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Record W4300822786 · doi:10.46692/9781447333371.003

New Public Management, migrant professionals and labour mobility: possibilities for social justice social work?

2018· other· en· W4300822786 on OpenAlexaboutno aff
Donna Baines

Bibliographic record

Venuenot available
Typeother
Languageen
FieldSocial Sciences
TopicSocial Policy and Reform Studies
Canadian institutionsnot available
Fundersnot available
KeywordsWork (physics)Social justiceSociologySocial workPublic relationsSocial mobilityCriminologyPolitical scienceSocial scienceEngineeringLaw

Abstract

fetched live from OpenAlex

Introduction As noted earlier in this volume, social work is practised mainly at the local level and is highly context-specific, despite increasingly global movements of capital and more privileged, ‘skilled’ labour forces. As Lyons (Chapter Two, this volume) asserts, in addition to the global mobility of ‘professionals’, including social workers, the forced migration of increasingly large groups of people is changing the face of many regions and impacting on local and international social work. As long-standing immigrant nations established during the height of European colonialism, Australia, Canada and New Zealand continue to struggle with the contradictions of wealthy, although increasingly polarised, societies, flourishing on land originally confiscated from local indigenous populations, who remain, for the most part, uncompensated, marginalised and struggling. As the major source of original waves of immigration to these three countries, the UK (then England) now faces its own crisis in relation to growing racism and xenophobia over immigration and asylum seeking. Contemporary austerity policies in all four countries and the widespread adoption of New Public Management (NPM) models within social services do little to address long-standing inequities, racism and colonialism. Instead, evidence confirms a growing gap between indigenous and non-indigenous citizens (Vinson et al, 2015), and immigrants and non-immigrants (Dominelli, 2008; Ife, 2012; Robinson, 2014). NPM has been introduced into social service organisations across most of the industrialised world, meaning that most employers feel compelled to hire social workers who can ‘perform’ well within its high demand for documentation, heavy workloads, fast pace and work intensity (McDonald, 2006; Carey, 2008; Baines, 2017). Common across the countries studied in this collection, this performance of social work often restricts or removes possibilities for social justice practice. Dovetailing with NPM's restrictiveness, questions have been raised as to whether transnational social work can be a social justice project or if it is predisposed to replicate global patterns of dominance and undermine local strengths and practices. Although presented as united and cohesive, social work is a highly contested field in which both the Left and the Right claim to do social justice. As Reynolds (1963) argued decades ago, unless social work is grounded in the struggles for justice of oppressed people, its purpose becomes corrupt and cannot advance its practice or theory.

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)0.003
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.023
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0070.016
Scholarly communication0.0140.011
Open science0.0010.007
Research integrity0.0080.008
Insufficient payload (model declined to judge)0.0230.002

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 head0.067
GPT teacher head0.388
Teacher spread0.321 · 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".

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Citations0
Published2018
Admission routes1
Has abstractyes

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