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Record W2945072800

Contexto normativo internacional como propulsor del marketing ecológico en las organizaciones

2012· article· es· W2945072800 on OpenAlexaboutno aff
Danny D. López, Luz Darcy Mendoza

Bibliographic record

VenueCOEPTUM · 2012
Typearticle
Languagees
FieldBusiness, Management and Accounting
TopicOrganizational Management and Innovation
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Political scienceSustainable developmentConventionGlobePublic relationsManagementBusinessGeographyLawEconomicsPsychology
DOInot available

Abstract

fetched live from OpenAlex

This study aimed to describe the international regulatory as propellant context of green marketing in organizations, addressing the main approaches to viewing it under the Montreal Protocol, the Convention United Nations framework on climate change and the effects of Protocol Kyoto scenario leading to a global sustainable development. The research is descriptive-documentary, based mainly on the contributions made by authors such as Lorenzo (2002), Calomarde (2000), Chamorro (2001), Vincent and Ruiz (2002), Nieto (2005), Galarraga and others (2002), Sabogal and others (2010). The review concluded that the international consensus of the countries is the true path to corporate environmental philosophy, whose practice is in line with the interests of society to truly respect the natural environment and gradually achieve an effective demand for products and services clean, encouraging responsible behavior towards the environment and discouraging others who contribute to their degradation, established the importance of the entry into force protocols agreed by most countries of the globe and how corporations have been influenced directly by the premises addressed in such agreements.

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)0.013
metaresearch head score (Gemma)0.009
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 score0.018
Threshold uncertainty score0.093

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0050.017
Scholarly communication0.0180.006
Open science0.0010.005
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.019
GPT teacher head0.250
Teacher spread0.232 · 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
Published2012
Admission routes1
Has abstractyes

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