Work ties beget community? Assessing interactions among transnational private governance organizations in sustainable agriculture
Bibliographic record
Abstract
Abstract Transnational private governance organizations (TPGOs) set standards for various sustainability issues and industries. TPGOs individually address only facets of larger problems such as land conversion, and competition among TPGOs also affects TPGO governance, meaning coordination across their activities can be required. Studies have shown that ties between TPGOs and other organizations facilitate information sharing, coordination and socialization. A systematic analysis of the structure of such ties, however, is lacking. Using the employment ties of staff and governors, we analyse the inter‐organizational communities of TPGOs that focus on agriculture. Our findings cast doubt on the existence of a coherent community of sustainable agricultural TPGOs: very few communities involve multiple TPGOs. While TPGOs with a similar product focus may form links with similar organizations, there are few direct and indirect ties among TPGOs. Researchers should therefore be cautious about assuming that a TPGO policy community crossing organizational and policy divides currently exists.
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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 | 0.010 | 0.035 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".