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El tratamiento jurídico de la etiqueta-certificación ambiental. Regulación en el derecho cubano

2017· article· es· W2528941923 on OpenAlexaff
Alcides Francisco Antúnez Sánchez, Elena Polo Maceiras

Bibliographic record

VenueADVOCATUS · 2017
Typearticle
Languagees
FieldSocial Sciences
TopicComparative International Legal Studies
Canadian institutions123 Certification (Canada)
Fundersnot available
KeywordsHumanitiesPolitical scienceGeographyPhilosophy

Abstract

fetched live from OpenAlex

El sistema de etiquetado-certificación ambiental permite a los consumidores, a los compradores públicos y privados identificar los productos “verdes”. Ello permite demostrar y comunicar a las formas de gestión que su producción y prestación de servicios sea respetuosa con el medioambiente como necesidad social; es a la vez un derecho individual y colectivo, donde todo ser humano tiene el derecho de gozar de un medioambiente adecuado y el deber de conservarlo. Se establece la obligación de los poderes públicos de velar por la utilización racional de los recursos naturales, con el fin de proteger y mejorar la calidad de la vida y defender y restaurar el medioambiente. El objetivo del sistema de concesión de etiqueta ecológica es reducir el impacto negativo de la producción y el consumo sobre el medioambiente, la salud, el clima y los recursos naturales, promoviendo productos que tengan un nivel elevado de comportamiento ambiental mediante la utilización de la etiqueta. El artículo muestra las insuficiencias dentro de la ordenación jurídica nacional para la concesión de la etiqueta-certificación ambiental, entregada de forma mayoritaria a las formas de gestión del sector estatal al ser este el sector mayoritario en el comercio cubano. Para ello fueron empleados métodos de investigación como el teórico-jurídico, el histórico-lógico, el exegético-jurídico, el de derecho comparado, y el de análisis y síntesis.

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)0.028
metaresearch head score (Gemma)0.024
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: Other · Consensus signal: Other
Teacher disagreement score0.093
Threshold uncertainty score0.186

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0280.024
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.004
Science and technology studies0.0110.021
Scholarly communication0.0270.015
Open science0.0030.011
Research integrity0.0060.008
Insufficient payload (model declined to judge)0.0120.002

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 head0.028
GPT teacher head0.421
Teacher spread0.392 · 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
GenreOther

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".

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Citations1
Published2017
Admission routes1
Has abstractyes

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Same venueADVOCATUSSame topicComparative International Legal StudiesFrench-language works237,207