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Record W7033477972

A quebra do paradigma da comunidade internacional: possibilidades de regulamentação do paralegal para o bacharel em direito

2019· article· en· W7033477972 on OpenAlexaboutno aff

Bibliographic record

VenueRePEc: Research Papers in Economics · 2019
Typearticle
Languageen
FieldEngineering
TopicSoft Robotics and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsBachelorProfessionalizationRemunerationOrder (exchange)Economic JusticeWork (physics)Public policy
DOInot available

Abstract

fetched live from OpenAlex

O presente artigo analisa o cenário das comunidades internacionais em relação à figura do Bacharel em Direito, com a ótica da possível regulamentação ou utilização profissional deste agente. O estudo abrange dados da à frica do Sul, Austrália, Brasil, Canadá, Estados Unidos da América, Japão, País de Gales e Reino Unido a fim de elucidar questionamentos como: a existência de regulamentação legal, as políticas púbicas criadas para que seja concedida a legalização de sua atuação, a obrigatoriedade de um curso jurídico, a remuneração e o impacto social e para o desenvolvimento local por meio deste ator. Foi utilizada pesquisa bibliográfica para elucidar tais questionamentos. Em suma, existe um nicho a ser explorado profissionalmente por meio da figura do bacharel em Direito ou do Paralegal. A profissionalização desse ator pode ter impacto direto no desenvolvimento local das comunidades, de modo a garantir o acesso à justiça ’pessoas de baixa renda.

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)0.024
metaresearch head score (Gemma)0.028
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.024
Threshold uncertainty score0.137

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0240.028
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.004
Science and technology studies0.0190.047
Scholarly communication0.0180.016
Open science0.0030.009
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0080.001

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 head0.022
GPT teacher head0.296
Teacher spread0.274 · 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 designTheoretical or conceptual
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
Published2019
Admission routes1
Has abstractyes

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Same venueRePEc: Research Papers in EconomicsSame topicSoft Robotics and ApplicationsFrench-language works237,207