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Record W2518248960 · doi:10.1080/02615479.2016.1225712

A social work re-reading of students as consumers

2016· article· en· W2518248960 on OpenAlexafffundabout
Sarah Todd, Lisa Barnoff, Ken Moffatt, Melanie Panitch, Henry Parada, Brianna Strumm

Bibliographic record

VenueSocial Work Education · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsToronto Metropolitan UniversityCarleton University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsConsumerismIdeologyReading (process)Neoliberalism (international relations)Work (physics)SociologyCapitalismSocial workHigher educationPedagogyPublic relationsPsychologyPolitical scienceSocial scienceEconomic growthPoliticsEconomics

Abstract

fetched live from OpenAlex

The concept of student as consumer highlights significant shifts in what Canadian students pay for their education and how this transition has shaped their relationship with learning as well as their overall expectations for, and participation in, the project of higher learning. Consumerism in social work education reflects broader trends towards academic capitalism in Canadian universities and is a result of neoliberal ideology reshaping higher education. In this paper, we explore student and faculty participants’ reflections on the impact of consumerism on progressive social work education, exploring how participants use the term to make sense of their experiences and how doing so reshapes progressive social work education itself.

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)0.004
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.221
Threshold uncertainty score0.439

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0130.066
Scholarly communication0.0120.010
Open science0.0010.005
Research integrity0.0050.008
Insufficient payload (model declined to judge)0.0040.000

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 head0.044
GPT teacher head0.440
Teacher spread0.396 · 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 designTheoretical or conceptual
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

Citations16
Published2016
Admission routes3
Has abstractyes

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