Transnational Institutions in Developing Countries: The Case of Iranian Civil Aviation
Bibliographic record
Abstract
The proliferation of transnational institutions in the form of protocols, conventions, regimes and standards is a growing influence on organizational practice. Recent work on the origins and impact of transnational institutions focuses upon processes in ‘core’ states, but their influence in developing countries has not received much attention. In this paper we narrate a case study of the diffusion of two institutional regimes represented by the International Civil Aviation Organization (ICAO) and the International Air Transport Association (IATA) in Iranian civil aviation. The case study describes a seemingly frictionless and uncontested embedding of the emergent international aviation regime in post-World War II Iran and a severe challenge to those institutions in the years following Iran's Islamic revolution. We characterize the rise and decline of these regimes as a double process of institutionalization and de-institutionalization, and identify political and technical factors that drive institutional change. We discuss several theoretical and policy implications stemming from the experience of transnational aviation institutions in Iran.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.007 | 0.010 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".