Identification of Sustainable Practices in Brazilian Companies: A Case Study in the Food Sector
Bibliographic record
Abstract
This research seeks to verify the presence of sustainable practices in the Brazilian food industry and how these practices affect this sector. Through the case study applied in two food companies (Alpha and Beta) it was possible to characterize and quantify the sustainable practices used in these companies. With this, it was observed that Alpha company meets the criteria established by the legislation and the guidelines established in ISO 14000, it opted for no certification, and however, this is a goal to be achieved. Furthermore, Alpha company provides guidelines that prioritize suppliers that have socio-environmental certifications such as those of the ISO certification, but it does not yet have the sustainability reports. Beta company in following the criteria imposed by the legislation has the ISO 14001 certifications. The structuring of sustainability report and its publication has already been a reality in the Beta company through the Global Compact since 2003. The Alpha and Beta companies do not specify what internal and external factors are motivational in the application of sustainable practices, although they claim to be in accordance with the current legislation. Lastly, the companies surveyed, while presenting sustainable practices involving the three pillars, did not strive to respond in detail about each pillar, considering the practices in general. It was found that a lot of information about the priorities of companies was of compliance and could not be answered.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".