Equity and expertise in the UN Food Systems Summit
Bibliographic record
Abstract
The UN Food Systems Summit is expected to launch bold new actions, solutions and strategies to deliver progress on all 17 sustainable development goals (SDGs), each of which requires a transformation in the way the world produces, consumes and thinks about food. However, the summit preparations have started controversially, with claims of corporate capture by prominent civil society groups, who, alongside the current and two former UN Special Rapporteurs on the Right to Food,2 have also noted insufficient attention paid to human rights and to rebalancing power in the food system itself. The issue of corporate capture is an important one for the summit. Early decisions to implement a clear set of rules on corporate \nparticipation and transparency were missed and need rectifying urgently for the summit to continue with any legitimacy, as the UN \nSpecial Rapporteurs and the scientists of a new boycott have pointed out. The summit has embraced the (contested, some would argue failed) principle of ‘multistakeholder inclusivity’ as essential for the summit to be a ‘safe space’ for all actors, but with little regards to how power asymmetries between \nstakeholders within the summit itself must be acknowledged, addressed and accounted for transparently; not a helpful precedent for a global architecture to address those same \npower asymmetries.
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 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 | 0.002 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".