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Record W2554535305 · doi:10.15402/esj.v1i2.113

Redefining Borders between Communities and the Classroom: How Community-based Social Activists can Transform Social Work Education

2016· article· en· W2554535305 on OpenAlexafffundvenueabout
Lori Chambers, Sheila Cranmer-Byng, May Friedman, Meaghan Ross, Warimu Njoroge, Dawn Onishenko, Camisha Sibyls, Kristin Smith, Andrea Westbrook

Bibliographic record

VenueEngaged Scholar Journal Community-Engaged Research Teaching and Learning · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsCentre for Addiction and Mental HealthToronto Metropolitan UniversityYork UniversityMcMaster University
FundersUniversity of Alberta
KeywordsSocial workPublic relationsSociologyRestructuringSocial philosophyNeoliberalism (international relations)ManagerialismContext (archaeology)Social changePolitical scienceSocial scienceSocial relation

Abstract

fetched live from OpenAlex

In the context of service restructuring that has gravely impacted quality of life for social workers and the people with whom they work, this paper considers the ways that social work education can better support social justice-based social work practices in urban communities in Canada. The paper’s authors attended a fall 2013 Ryerson University forum that brought together critical social work educators and community-based activist social workers struggling to bring social justice-based practices to their work within restructured social services. Examples of social service restructuring include cuts to services, labour intensification, and increased managerialism, processes known as neoliberalism that have shifted discourses away from quality of life toward a focus on economic markers and efficiencies. The purpose of our forum was to explore ways in which social work curricula and pedagogical practices can be challenged and redefined in order to better support those efforts by social workers to resist such processes and to enhance social worker and client quality of life. Our paper presents the findings of this forum, including the presentation and discussion of a series of recommendations to reconfigure social work education so that it is more congruent with the needs of social justice-based practice in social work.

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)0.758
metaresearch head score (Gemma)0.357
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Scholarly communication, Research integrity
Consensus categoriesMetaresearch, Science and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.784
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.7580.357
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.7870.003
Scholarly communication0.0030.001
Open science0.0010.000
Research integrity0.0000.493
Insufficient payload (model declined to judge)0.0000.000

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 head0.183
GPT teacher head0.436
Teacher spread0.253 · 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 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

Citations0
Published2016
Admission routes4
Has abstractyes

Explore more

Same venueEngaged Scholar Journal Community-Engaged Research Teaching and LearningSame topicSocial Work Education and PracticeFrench-language works237,207