Bibliographic record
Abstract
Green Marketing is the new concept for India from last decade as going on the implementation of environmental rights for the sake of people. Producers are showing as environmental friendly behavior at public platform. In buyer oriented society, demand is the weapon of consumer which can’t be easily neglect by the producer i.e. U.S.A., Japan, Canada etc. but it is very difficult in seller oriented society due to the conventional perception of producer. Sensitiveness of consumers can play a significant role to implement eco-friendly products concept in developing countries like us. Indian consumers have diversity in perception about product uses in routine life. So, that’s why, how much Indian consumers are aware about green products and degree of implementation of their perception in routine life is remain fact finding process in India. Green marketing includes all the activities which make safer environmental sustainability from seller and buyer both points of view. As a seller point of view, green marketing activities includes design and developing eco-friendly products, recyclable and biodegradable packaging, steps of technology improvement and waste management etc.. Buyers green marketing activities follow to demand of eco-friendly products, proper uses of products, contribution in product recycle process etc.. Green marketing comes under the preview of internal and external environment of the firm. In this research paper, the main emphasis has been made of consumers’ perception about green marketing and patter to follow their perception in ordinary life. Research paper aims to find out what actually Indian consumers view about ‘green’? Keywords: Green marketing, eco-friendly products, environmental marketing, ecological marketing, consumer behavior, sustainable development
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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.
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".