The uneasy marriage of private standards and public policies for sustainable commodity governance
Bibliographic record
Abstract
Abstract Global value chains for commodity agriculture have been the target of a broad array of sustainability governance efforts led by both public and private actors. In this paper, we ask: how do public policies and private standards interact in commodity‐exporting countries? To answer this question, we examine the interactions between voluntary sustainability standards and domestic public policies in three cases: soybean farming in Brazil, palm oil production in Indonesia, and pangasius aquaculture in Vietnam. We find that in each case, public and private governance interactions go through a period of competition before ending in a state of reluctant complementarity. We argue that this reluctant complementarity results from the need of governments in commodity‐producing countries to maintain export markets for their goods. This finding challenges the idea that complementarity between public and private sustainable commodity governance is driven by goal alignment and tempers expectations that standards and certifications can mitigate deforestation.
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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 | 0.001 | 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 | 0.001 | 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 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".