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Record W2772207902 · doi:10.1177/1073110517720646

Proof in the Pudding: The Value of a Rights Based Approach to Understanding the Covert Administration of Psychotropic Medication to Adult Inpatients Determined to Be Decisionally-Incapable in Ontario's Psychiatric Settings

2017· article· en· W2772207902 on OpenAlexaboutno aff
C. Tess Sheldon

Bibliographic record

VenueThe Journal of Law Medicine & Ethics · 2017
Typearticle
Languageen
FieldPsychology
TopicHealthcare Decision-Making and Restraints
Canadian institutionsnot available
Fundersnot available
KeywordsCovertConfusionPsychiatryAdministration (probate law)MedicineValue (mathematics)PsychologyLawPolitical science

Abstract

fetched live from OpenAlex

This paper explores a grey area of psychiatric practice and, as with other challenging practices, the law is called upon to navigate conflicting legal issues. In particular, this paper explores the covert administration of medication: the concealment of medication in food or drink so that it will be consumed undetected. Rights-based approaches support nuanced understanding of the practices. Few policies, protocols or guidelines govern the practice in Ontario's psychiatric settings. While covert medication is understood to have “something to do” with rights, there is confusion about how those rights play out on the ground. Institutional silences underlie and reinforce the practice. Most pressing, the covert administration of medication warrants an overt discussion, including of its impact on the rights-experience of persons in psychiatric settings.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.024
metaresearch head score (Gemma)0.033
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.483
Threshold uncertainty score0.971

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0240.033
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0180.127
Scholarly communication0.0150.019
Open science0.0040.010
Research integrity0.0090.010
Insufficient payload (model declined to judge)0.0040.000

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 head0.167
GPT teacher head0.435
Teacher spread0.268 · 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 source (direct Gemma or distilled Codex), 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
Published2017
Admission routes1
Has abstractyes

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