MétaCan
Menu
Back to cohort
Record W2889366807 · doi:10.15547/tjs.2018.s.01.021

Forced interventions against persons with mental disorders - medical-legal accents

2018· article· en· W2889366807 on OpenAlexaboutno aff
Violeta Mihaylova, M. Liochkova, A. Alakidi, K. Kazandjiev, D. Shopov

Bibliographic record

VenueTrakia Journal of Sciences · 2018
Typearticle
Languageen
FieldPsychology
TopicHealthcare Decision-Making and Restraints
Canadian institutionsnot available
Fundersnot available
KeywordsPsychological interventionPsychologyPsychiatryMedicineGerontologyClinical psychology

Abstract

fetched live from OpenAlex

A brief analytical overview of the prescriptions for enforcement and the procedure for its implementation, respectively, Penal Code and Code of Criminal Procedure, as well as Instruction Nr. 1 for the activity of the health authorities in the placement of persons with psychiatric disorders in psychiatric hospitals under compulsory orders, as opposed to the compulsory accommodation and treatment with preventive purpose under the Health Act. Importance is attributed to Canadian Psychiatric Association-CPA (1980), which advocates a situation-based approach to this specific contingent, and Declaration of Helsinki (2000), to obtain adequate informed consent in cases of mental disorders by legally authorized representatives in accordance with the applicable law. It is argued that coercive medication (including isolation, mechanical restraint, eventual electro-shock procedures, even neuroleptics, etc.) should only be taken when all means of informing people with mental retardation and aggressive behavioral abnormalities have failed, while strictly observing legislative restrictions. The bipolar nature between the doctor's responsibility to ensure the good / good of the patient from a medical point of view and the respect / respect for his will stands out as a fundamental bioethetical configuration.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.918
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.063
GPT teacher head0.441
Teacher spread0.378 · 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 designOther design
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

Citations1
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueTrakia Journal of SciencesSame topicHealthcare Decision-Making and RestraintsFrench-language works237,207