Reverse Logistics: An Analysis of Business Communication on Discarding Electrical Bicycle Batteries
Bibliographic record
Abstract
Reverse post-consumer logistics is a process that consists of returning certain goods to the production chain. There is to provide an appropriate and sustainable destination for a series of items that would most likely be discarded inappropriately. Since the sanction of the National Solid Waste Policy in 2010, it has been mandatory for companies to structure reverse logistics programs and communicate to their consumers about what to do after the end of their products. Four Brazilian companies in electric bicycle manufacturers have become the object of this study. We did research through the consumer’s view of this good to diagnose the communication of reverse logistics programs of the chosen companies. In addition, the study was complemented with an analysis of the potential market, identifying whether reverse logistics is a competitive advantage. The results show that the four studied companies are not in accordance with current legislation. Through the questionnaire results with 238 people, we conclude that it is a competitive advantage for the company to disclose the destination of its post-consumption product.
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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 | 0.003 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.002 | 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) | 0.006 | 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".