Assessing and managing environmental, social, and governance risks in agri‐food companies
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
Abstract The objective of this article is to analyze the environmental, social, and governance (ESG) risks to which agri‐food companies are exposed and the various practices they adopt to manage them. An analysis of the sustainability reporting produced by 135 agri‐food companies that are relatively committed to ESG risk management shows the wide diversity of ESG risks they consider as well as the very uneven coverage of these risks in corporate disclosures. This article proposes an integrative model to describe how agri‐food companies handle risk management based on four main topics: assessing and monitoring ESG risks; internalizing risk management; implementing standards, approaches, and specific tools; and preventing risks through innovation and stakeholder partnerships. This article makes important contributions to the emerging literature on ESG risk management and corporate sustainability in the agri‐food industry, notably by mapping such risks and by summarizing the main practices used by agri‐food companies to manage them.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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