Can non‐state global governance be legitimate? An analytical framework
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract In the absence of effective national and intergovernmental regulation to ameliorate global environmental and social problems, “private” alternatives have proliferated, including self‐regulation, corporate social responsibility, and public–private partnerships. Of the alternatives, “non‐state market driven” (NSMD) governance systems deserve greater attention because they offer the strongest regulation and potential to socially embed global markets. NSMD systems encourage compliance by recognizing and tracking, along the market’s supply chain, responsibly produced goods and services. They aim to establish “political legitimacy” whereby firms, social actors, and stakeholders are united into a community that accepts “shared rule as appropriate and justified.” Drawing inductively on evidence from a range of NSMD systems, and deductively on theories of institutions and learning, we develop an analytical framework and a preliminary set of causal propositions to explicate whether and how political legitimacy might be achieved. The framework corrects the existing literature’s inattention to the conditioning effects of global social structure, and its tendency to treat actor evaluations of NSMD systems as static and strategic. It identifies a three‐phase process through which NSMD systems might gain political legitimacy. It posits that a “logic of consequences” alone cannot explain actor evaluations: the explanation requires greater reference to a “logic of appropriateness” as systems progress through the phases. The framework aims to guide future empirical work to assess the potential of NSMD systems to socially embed global markets.
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.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| 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 it