Private Governance in the Global Agro-Food System A Framework for Analysis
Bibliographic record
Abstract
Doris Fuchs Agni Kalfagianni Jennifer Clapp Institute for Political Sciences Dept. of International Relations Faculty of Westfalian-Wilhems and European Integration Environmental Sciences University of Munster University of Stuttgart University of Waterloo Scharnhorststr. 100 Breitscheidstr. 2 200 University Ave. West 48151 Munster 70174 Stuttgart Waterloo, Ontario N2L 3G1 Germany Germany Canada doris.fuchs@uni-muenster.de agni.kalfagianni@sowi.uni-stuttgart.de jclapp@fes.waterloo.ca Phone: + 49 251 8325326 Phone: + 49 711 6858 3420 Phone: +1 519-888-4567
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.010 |
| Science and technology studies | 0.018 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.011 | 0.001 |
| 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 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".