Farm-to-fork… and beyond? A call to incorporate food waste into food systems research
Bibliographic record
Abstract
Although food waste is gaining attention as an issue of environmental, social, and economic concern, this topic has only been taken up minimally by food scholars, despite its apparent relevance to food systems scholarship. Through a literature scan of nine food systems journals, we identify and characterize all instances of “food waste” and “food loss” mentions. We find that reference to this important topic is growing within food studies but is still a marginal concept. To help advance the discourse on food wastage, we suggest three potential areas of food systems research that could extend the scholarship, particularly drawing from analytical developments in discard studies. We encourage food studies scholars to consider waste as an intrinsic element of the food systems they study and as a fruitful boundary topic for future research.
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.
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 | 0.053 | 0.037 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.009 |
| Science and technology studies | 0.009 | 0.041 |
| Scholarly communication | 0.022 | 0.062 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.009 | 0.012 |
| Insufficient payload (model declined to judge) | 0.005 | 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".