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Record W7135965037

Supporting measures on impairment of an adult's capacity to legal acts

2016· dissertation· cs· W7135965037 on OpenAlexaboutno aff
Olga Karolová

Bibliographic record

VenueDigital Repository (National Repository of Grey Literature) · 2016
Typedissertation
Languagecs
FieldPsychology
TopicHealthcare Decision-Making and Restraints
Canadian institutionsnot available
Fundersnot available
KeywordsLegislationCivil codeCode (set theory)Measure (data warehouse)
DOInot available

Abstract

fetched live from OpenAlex

IN ENGLISH This rigorous thesis focuses on the topic of supporting measures on impairment of an adult's capacity to legal acts. The topic is actual, because of quite radical changes in legislation that were brought by the effectiveness of the Civil Code No. 89/2012, Coll. This rigorous thesis also analyses some partial questions that are more or less theoretical (for example the analysis of some historical consequences or constitutional aspects of the topic) as well as practical (for example questions that are related to the detection of a mental disorder and its influence on the capacity to legal acts, questions related to ID card of an adult, whose capacity to legal acts is impaired etc.). Detailed analysis of each supporting measure is contained in a separate chapter and each of these institutes is also compared with a foreign legislation (with the Civil Code of Québec or with the Austrian Civil Code - ABGB). In these parts of this rigorous thesis are also some problematic legal provisions pointed out, eventually some recommendations for amendments to effective legislation are given. The particular insights, which came as a result of the analysis, are briefly summarized in the conclusion of this rigorous thesis.

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)0.050
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.019
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.050
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0010.003
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0190.003

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 head0.019
GPT teacher head0.346
Teacher spread0.327 · 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 designNot applicable
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

Citations0
Published2016
Admission routes1
Has abstractyes

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Same venueDigital Repository (National Repository of Grey Literature)Same topicHealthcare Decision-Making and RestraintsFrench-language works237,207