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Record W4308592924 · doi:10.1080/26907240.2022.2139057

Proceeding From Our Roots in the Dust: An Unfolding Ethics of Care Through the Arts (Étendre nos racines dans la poussière : une éthique des soins qui se déploie à travers les arts)

2022· article· fr· W4308592924 on OpenAlexaff
Patricia Ki

Bibliographic record

VenueCanadian Journal of Art Therapy · 2022
Typearticle
Languagefr
FieldArts and Humanities
TopicArt Therapy and Mental Health
Canadian institutionsYork University
Fundersnot available
KeywordsComplicitySociologyForegroundingEthics of careFeminismSituatedThe artsGender studiesPolitical sciencePhilosophyEpistemologyLaw

Abstract

fetched live from OpenAlex

This theoretical essay invites a reimagining of ethics in art therapy, and a questioning of the reverence of ethical codes and standards in the care professions as universally beneficial. It explores how one may practice care work without replicating systemic violence. I begin exploring these broad quandaries by drawing from partial and situated knowledges (Haraway, 1988 Haraway, D. (1988). Situated knowledges: The science question in feminism and the privilege of partial perspective. Feminist Studies, 14(3), 575–599. https://doi.org/10.2307/3178066[Crossref], [Web of Science ®] , [Google Scholar]). This writing is informed by feminist analyses and theorizations of care ethics, and written from my subject position as a racialized cisgender woman working in mental health services and an art therapy training program in Tkaronto1. I begin with a discussion of the discourse of professional ethics and its idealization of masculine rationality and a top-down model of accountability to contemplate why people continue to experience oppressive and unethical treatment within human service systems despite deeply cemented directives to adhere to professional codes of ethics. I argue that it is necessary to center emotions and interdependence in confronting our complicity in oppression. I conclude by contemplating an ethics of foregrounding the arts to hold space for uncertainty, responsibility, and care.

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
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.526
Threshold uncertainty score0.998

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 studies0.0040.001
Scholarly communication0.0000.001
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 head0.096
GPT teacher head0.329
Teacher spread0.233 · 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
Published2022
Admission routes1
Has abstractyes

Explore more

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