Community structure and the behavior of transnational sustainability governors: Toward a multi‐relational approach
Bibliographic record
Abstract
Abstract Hundreds of transnational private governance organizations (TPGOs) have emerged in recent decades to govern social and environmental conditions of production using voluntary standards. A debate persists over whether the ties among different TPGOs and other organizations create a professional community that affects the behavior of TPGOs. To help resolve this debate, we analyze multiple ties among agriculture TPGOs to offer a more robust exploration of community structures and their potential effects for three forms of TPGO behavior – coordination, collaboration, and isomorphism. Our aggregate measure of ties reveals a thin community dominated by older TPGOs and TPGOs advancing a broad notion of sustainability that were created by Solidaridad, the World Wildlife Fund, and/or Unilever. The clearest community structures are built from ties that exhibit the potential for not actual collaboration, coordination, and isomorphism. Thus, while there exists convergence toward an emergent TPGO‐community, obstacles remain to more intense behavioral effects for TPGOs.
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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 | 0.005 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".