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Record W4400354949 · doi:10.34883/pi.2024.15.1.004

Approbation of a Financial Transaction Ability Test Procedure in Persons with Severe Mental Disorders

2024· article· ru· W4400354949 on OpenAlexaboutno aff
Н.К. Харитонова, О.А. Русаковская, Д.Д. Солодов, М.Ф. Габси

Bibliographic record

VenueПсихиатрия психотерапия и клиническая психология · 2024
Typearticle
Languageru
FieldBusiness, Management and Accounting
TopicFinancial Literacy, Pension, Retirement Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsTest (biology)Database transactionPsychologyFinanceBusinessComputer scienceDatabase

Abstract

fetched live from OpenAlex

Введение. Признание гражданина недееспособным и ограниченно дееспособным влечет за собой ограничение его права совершать любые или только крупные сделки. В связи с этим при проведении судебно-психиатрических экспертиз по делам, решающим вопрос об изменении гражданско-правового статуса, оценке подлежит способность лица к финансовой деятельности, которая включает и операциональные компоненты. Цель. Изучение особенностей финансовой деятельности у лиц с тяжелыми хроническими психическими расстройствами и апробация процедуры исследования способности к проведению финансовых операций. Материалы. 71 человек с тяжелыми хроническими психическими расстройствами (шизофрения – 36, нарушения интеллектуального развития – 22, органические психические расстройства – 13). Методы. Шкала общего клинического впечатления (CGI-S), Монреальская шкала когнитивной оценки, тест Векслера, стандартизированный протокол экспертного исследования по делам об изменении гражданско-правового статуса, процедура исследования способности к проведению операций с финансами. Результаты. Установлено, что уровень сформированности элементарных математических навыков, зависящий от уровня образования и коррелирующий с интеллектуальным уровнем, не определяет напрямую способность к финансовой деятельности (использование денег в повседневной жизни, понимание финансовых понятий, представление о личной собственности). Апробирована процедура исследования способности к проведению операций с финансами. Подтверждена валидность методики для оценки операциональных компонентов финансовой компетентности при судебно-психиатрических экспертизах по делам об изменении гражданско-правового статуса. Introduction. Recognizing a citizen as legally incapable or partially capable entails restricting his right to make all or only major transactions. In this regard, when conducting forensic psychiatric examinations in cases that resolve the issue of changing the civil legal status, the person’s ability to perform financial activities, which includes operational components, is subject to assessment. Purpose. To study the characteristics of financial activity in people with severe chronic mental disorders and to test the Financial Transaction Ability Test Procedure. Materials. 71 people with severe chronic mental disorders (schizophrenia – 36, intellectual development disorders – 22, organic mental disorders – 13). Research methods. Clinical Global Impression Scale (CGI-S), Montreal Cognitive Assessment Scale, Wechsler test, Standardized Protocol for Expert Examination in Cases of Change of Civil Legal Status, Financial Transaction Ability Test Procedure. Results. It has been established that the level of development of elementary mathematical skills, which depends on the level of education and correlates with the intellectual level, does not directly determine the ability to perform financial activities (using money in everyday life, understanding financial concepts, the idea of personal property). The Financial Transaction Ability Test Procedure has been tested. Its validity for assessing the operational components of financial competence during forensic psychiatric examinations in cases of changes in civil legal status has been confirmed.

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)0.008
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.033
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0080.003

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 head0.006
GPT teacher head0.205
Teacher spread0.199 · 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 designObservational
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
Published2024
Admission routes1
Has abstractyes

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