Does sustainability matter in the global beer industry? Bibliometrics trends in recycling and the circular economy
Bibliographic record
Abstract
It is commonly known that the beer industry, like many other companies in the food sector, has been encouraged to improve their sustainability and waste management requirements. This study intends to fill the gap referring to the Brewery Industry’s impact on academics from 1972 to 2022 related to recycling and waste management issues. The above research utilizes bibliometric analysis via Biblioshiny and the Scopus publications database, as well as an online interface for Bibliometrix analysis. For studying the Global Brewery Industry literature, this method offers a viable alternative to traditional bibliometric analysis. Among the findings we can mention are that most Brewery Industry inquiries were distributed by the “Bioresource Technology” and the most globally cited document is the book titled “Brewing: Science and Practice” written by De Briggs in 2004. European countries such as Italy, Spain and Portugal hold a strong academic collaboration with the Americas (mainly Canada, United States and Brazil). Another interesting finding indicates that the circular economy and recycling are not very present topics in the scientific literature, maybe because sustainability is a subject of recent discussion and study in the brewing industry.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.017 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".