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Record W3171627769 · doi:10.1057/s41599-021-00811-z

Making autonomy an instrument: a pragmatist account of contextualized autonomy

2021· article· en· W3171627769 on OpenAlexafffund
Éric Racine, Sarah Kusch, M. Ariel Cascio, Aline Bogossian

Bibliographic record

VenueHumanities and Social Sciences Communications · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicMental Health and Psychiatry
Canadian institutionsMcGill UniversityUniversité de MontréalMontreal Clinical Research Institute
FundersMitacs
KeywordsAutonomyPragmatismEpistemologyVoluntarinessSocial psychologySociologyPsychologyPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Abstract Across societies, cultures, and political ideologies, autonomy is a deeply valued attribute for both flourishing individuals and communities. However, it is also the object of different visions, including among those considering autonomy a highly valued individual ability, and those emphasizing its relational nature but its sometimes-questionable value. A pragmatist orientation suggests that the concept of autonomy should be further specified (i.e., instrumentalized) beyond theory in terms of its real-world implications and usability for moral agents. Accordingly, this latter orientation leads us to present autonomy as an ability; and then to unpack it as a broader than usual composite ability constituted of the component-abilities of voluntariness, self-control, information, deliberation, authenticity, and enactment. Given that particular abilities of an agent can only be exercised in a given set of circumstances (i.e., within a situation), including relationships as well as other important contextual characteristics, the exercise of one’s autonomy is inherently contextual and should be understood as being transactional in nature. This programmatic paper presents a situated account of autonomy inspired by Dewey’s pragmatism and instrumentalism against the backdrop of more individual and relational accounts of autonomy. Using examples from health ethics, the paper then demonstrates how this thinking supports a strategy of synergetic enrichment of the concept of autonomy by which experiential and empirical knowledge about autonomy and the exercise of autonomy enriches our understanding of some of its component-abilities and thus promises to make agents more autonomous.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.891
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 studies0.0040.002
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.324
GPT teacher head0.387
Teacher spread0.064 · 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 designTheoretical or conceptual
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

Citations21
Published2021
Admission routes2
Has abstractyes

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