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Record W3106530059 · doi:10.2478/cl-2020-0006

Therapeutic Jurisprudence and Linguistic Rights: Beyond Access to Care

2020· article· en· W3106530059 on OpenAlexaff
Nicholas Léger-Riopel

Bibliographic record

VenueComparative Legilinguistics · 2020
Typearticle
Languageen
FieldHealth Professions
TopicInterpreting and Communication in Healthcare
Canadian institutionsUniversité de Moncton
Fundersnot available
KeywordsNormativeTherapeutic jurisprudenceJurisprudenceLawMental healthProcess (computing)Promotion (chess)PopulationHealth careSociologyPsychologyPolitical scienceComputer sciencePsychiatry

Abstract

fetched live from OpenAlex

Abstract Therapeutic jurisprudence is an interdisciplinary examination on the effect of the law on the mental and emotional health of those implicated in the judicial process. It concentrates primarily on the psychological impact of legal rules and procedures, as well as on the behaviour of legal players. TJ is a tool not often used in the promotion of linguistic rights. Endowed with a double mission, both normative and descriptive, TJ makes it possible to measure the impact of health incidences. In providing legal reformers with more precise tools to assess the health impacts of new linguistic rights standards TJ offers such a path of implementation of linguistic rights – not only from the formal point of view, but by keeping in mind their actual effectiveness – integrating law and languages in a way to mitigate their consequences on a population’s health.

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)0.000
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.930
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.214
GPT teacher head0.519
Teacher spread0.306 · 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 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
Published2020
Admission routes1
Has abstractyes

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