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Record W2981570455 · doi:10.22329/csw.v15i1.5908

Field Education in Social Work

2019· article· en· W2981570455 on OpenAlexaffvenue
Susan Preston, Purnima George, Susan Silver

Bibliographic record

VenueCritical Social Work · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsRestructuringSocial workAgency (philosophy)Field (mathematics)Neoliberalism (international relations)SociologyPublic relationsWork (physics)Social changePolitical sciencePublic administrationSocial scienceEngineeringLaw

Abstract

fetched live from OpenAlex

Understanding the neoliberal restructuring of social services cannot be outside the implications of these processes for field education in social work. The neoliberal agenda creates contradictions in field education as the site where the service sector and the academy come together, where critical synergies can be realized or jeopardized. From the critical activist stance of ourselves, and our school, we recognize and seek to resist the neoliberal control of social work settings and the practices therein. Recognizing that many schools of social work practice an agency based model of field education, we examine the limits of this approach, suggesting a shift towards a community issue based model is necessary to maintaining a commitment to preparing and supporting critical activist practitioners.

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)0.011
metaresearch head score (Gemma)0.008
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 score0.017
Threshold uncertainty score0.090

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0110.056
Scholarly communication0.0110.008
Open science0.0010.009
Research integrity0.0050.007
Insufficient payload (model declined to judge)0.0170.001

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 head0.034
GPT teacher head0.422
Teacher spread0.388 · 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

Citations41
Published2019
Admission routes2
Has abstractyes

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