Towards sustainable olive oil production: a systematic review of waste management strategies
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The production of olive oil in Mediterranean regions has a considerable negative impact on the environment due to the high production volume and short time frame. However, by applying the principles of the circular economy (CE), various waste management strategies can be identified for the olive oil supply chain. To assess the environmental impact of these waste management strategies, life cycle assessment (LCA) can be utilised. This study presents a systematic review of scientific LCA studies that examine the various wastes generated from the olive oil transformation process and different waste recovery scenarios in the agriculture, production, and packaging phases. We sourced 56 research papers from Web of Science, ScienceDirect, and Scopus, and surveyed them to identify the most commonly used valorisation scenarios and impact categories. Our results can inform decision-makers in selecting the most effective waste management strategies that can reduce environmental impacts by closing the waste loop.
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.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| 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 it