Contexto normativo internacional como propulsor del marketing ecológico en las organizaciones
Bibliographic record
Abstract
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.013 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.017 |
| Scholarly communication | 0.018 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".