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Record W4377104576 · doi:10.15691/0719-9112vol11n1a6

The Functional Model of Legal Capacity: An Analysis of the Regulation of Legal Capacity in three Common Law Jurisdictions

2023· article· en· W4377104576 on OpenAlexaboutno aff
Nelson Córdova Rosas, Pablo Marshall

Bibliographic record

VenueLatin American Legal Studies · 2023
Typearticle
Languageen
FieldPsychology
TopicHealthcare Decision-Making and Restraints
Canadian institutionsnot available
Fundersnot available
KeywordsLawCommon lawLegal practicePolitical scienceLaw and economicsSociology

Abstract

fetched live from OpenAlex

This paper introduces the developments of the functional model of legal capacity in the Common Law tradition to Spanish-speaking academic audiences. To achieve this, a brief comparison is drawn between different models to assess whether an adult lacks the necessary capacity to enter legal transactions. It is observed that, out of all these models, the functional model is the only one currently enjoying relative acceptance. For this reason, we comment on its virtues and defects. After the introductory part, this piece moves on to a study of how forensic practice in three jurisdictions that are considered examples of this legal tradition, namely England and Wales in the United Kingdom, British Columbia in Canada, and Queensland in Australia, all regulate the legal capacity of people with disabilities.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.735
Threshold uncertainty score0.963

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.132
GPT teacher head0.375
Teacher spread0.242 · 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.

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

Citations0
Published2023
Admission routes1
Has abstractyes

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