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Record W2612135801 · doi:10.1111/bioe.12356

The Voluntary Nature of Decision‐Making in Addiction: Static Metaphysical Views <i>Versus</i> Epistemologically Dynamic Views

2017· article· en· W2612135801 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueBioethics · 2017
Typearticle
Languageen
FieldDecision Sciences
TopicDecision-Making and Behavioral Economics
Canadian institutionsMontreal Clinical Research Institute
FundersFonds de Recherche du Québec - SantéSocial Sciences and Humanities Research Council of Canada
KeywordsMetaphysicsEpistemologyAddictionPsychologyPhilosophyPsychiatry

Abstract

fetched live from OpenAlex

The degree of autonomy present in the choices made by individuals with an addiction, notably in the context of research, is unclear and debated. Some have argued that addiction, as it is commonly understood, prevents people from having sufficient decision-making capacity or self-control to engage in choices involving substances to which they have an addiction. Others have criticized this position for being too radical and have counter-argued in favour of the full autonomy of people with an addiction. Aligning ourselves with middle-ground positions between these two extremes, we flesh out an account of voluntary action that makes room for finer-grained analyses than the proposed all-or-nothing stances, which rely on a rather static metaphysical understanding of the nature of the voluntariness of action. In contrast, a dynamic concept of voluntary action better accounts for varying levels of voluntariness of the person with an addiction which takes into consideration internal (e.g. cravings) and external (e.g. perceptions of degrees of freedom related to different options) determinants of choice. Accordingly, like other components of autonomous choices such as level of information, voluntariness can fluctuate. Therefore, there are important implications for research and clinical ethics in matters of consent, recruitment, and therapeutic approaches. Overall, our proposal is inspired by a pragmatist understanding of voluntary action, notably with respect to how voluntariness is both informed by actions and experiences that shape one's view of the world.

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.

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)0.009
metaresearch head score (Gemma)0.014
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.988
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0030.001
Research integrity0.0010.001
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 head0.260
GPT teacher head0.499
Teacher spread0.239 · 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