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Anarchist Perspectives for Social Work

2024· book· en· W4398517542 on OpenAlexaff
Alexander W. Sawatsky

Bibliographic record

VenueOxford University Press eBooks · 2024
Typebook
Languageen
FieldSocial Sciences
TopicAnarchism and Radical Politics
Canadian institutionsBooth University College
Fundersnot available
KeywordsWork (physics)SociologyEngineeringMechanical engineering

Abstract

fetched live from OpenAlex

Abstract This book uses an anarchist perspective with a focus on unpacking theory and a discussion of the implications for social work practice. As climate change, the brutality of austerity politics under neoliberal capitalism, xenophobia, and a rising right-wing fascism are increasingly making our lives, and those we intend to help, more difficult, protests against police, power, and authority have resulted in the public imaginary being confronted with images of temporary autonomous zones. The economic uncertainty brought about by the global pandemic, has raised questions about the meaning of “essential worker” and illustrated how capitalism is more interested in commerce than human beings. Grassroots movements, such as Black Lives Matter and Idle no More, are challenging how we think about society, and topics like anarchism have entered the mainstream discourse. Specific topics of social work practice and theory are explored, and anarchist ideas are considered. The reader is encouraged to join in thinking about what such a form of social work practice could be. This book will engage with environmental social work, notions of mental health and recovery that shape ongoing practice, and ideas related to theories of welfare. The argument is being made that anarchist ideas can help us think beyond the hegemony of the state for the collective benefit of all. Furthermore, this book is clear about the assumption that all structural forces are supported by white supremacy in our North American political climate and that anarchist perspectives seek to dismantle these for our collective, mutual benefit.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.732
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.037
GPT teacher head0.280
Teacher spread0.244 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2024
Admission routes1
Has abstractyes

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