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Record W4385455279 · doi:10.1521/jsyt.2023.42.1.40

An Ethical Stance for Justice-Doing in Community Work and Therapy

2023· article· en· W4385455279 on OpenAlexvenueaboutno aff
Vikki Reynolds

Bibliographic record

VenueJournal of Systemic Therapies · 2023
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsnot available
Fundersnot available
KeywordsSolidaritySociologyEconomic JusticeOppressionWork (physics)Social justiceEnvironmental ethicsPower (physics)Public relationsPolitical scienceCriminologyLaw

Abstract

fetched live from OpenAlex

This writing illuminates a possible stance for an ethic of justice-doing as a frame for community work and therapy. This approach to justice-doing is offered as an imperfection project, and while incomplete and necessarily flawed, it has been helpful to groups of workers striving to practice more in line with our collective commitments for social justice. This approach is profoundly collaborative and informed by decolonizing practice and anti-oppression activism. I will describe the intentions that guide this stance, which include striving towards centering ethics, doing solidarity, addressing power, fostering collective sustainability, critically engaging with language, and structuring safety. Even an imperfect orientation towards justice-doing can open our work to transformations for ourselves, the people we work alongside, and our communities and society, and offer the potential for experiencing the social diving. This article is framed from a keynote delivered at the Winds of Change Conference held in Ottawa, Ontario in June 2012. I acknowledge the Algonquin people whose territories we met on. Finally, marcela polanco (2011), who describes her work as a therapy of solidarity, will offer a reflection on my position for an ethic of justice-doing.

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)0.010
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.225
Threshold uncertainty score0.942

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.198
GPT teacher head0.526
Teacher spread0.328 · 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.

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

Citations2
Published2023
Admission routes2
Has abstractyes

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