MétaCan
Menu
Back to cohort
Record W4235580680 · doi:10.32920/ryerson.14649615

Resistance from within: social work within the community support sector of the Ontario Ministry of Health and Long Term Care

2021· preprint· en· W4235580680 on OpenAlexaffabout
Joseph L. Durand

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsToronto Metropolitan UniversityCentre for Social Innovation
Fundersnot available
KeywordsManagerialismReflexivityResistance (ecology)Power (physics)Social workSociologyPublic relationsChristian ministrySocial justicePolitical scienceSocial scienceLaw

Abstract

fetched live from OpenAlex

This study examines the impact of surveillant care managerialism upon the practice of three social workers employed within the community support sector in Ontario health care. It applies the “Foucauldian Toolkit” of Jason L. Powell to examine the nature of the discourse shaping their practice and how they are both complicit and resistant to these discourses. It introduces recognition theory as counter discourse and argues that through the unique knowledge gained through relationships of respectful recognition that social workers act justly. Moreover it is argued that the relationships between social workers and their clients is the source of our unique knowledges as practitioners. Finally, this study examines the implications of social workers integrating a Foucauldian understanding of the reflexive relationship of power/knowledge and how through intersubjective relationships, we practice, create identities and serve the needs of justice even in a system and profession which does not acknowledge it as a requirement.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.576
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.073
GPT teacher head0.365
Teacher spread0.292 · 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 teacher head, not a consensus.

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

Citations3
Published2021
Admission routes2
Has abstractyes

Explore more

Same topicSocial Work Education and PracticeFrench-language works237,207