Bibliographic record
Abstract
This article analyses the internet governance agenda pursued by the Islamic Republic of Iran (IRI) since 2003. Surveying the official documents of five major global events on internet governance, the article illustrates that the IRI agenda has been preoccupied with three major issues: first, the digital divide and the significant potential of the internet for economic development; second, the dominant role of developed countries in the management of critical internet resources; and third, the role of non-state actors in internet governance. The latter issue constitutes the main area of contention between different Iranian presidents. The IRI’s state-centric agenda for internet governance under President Mahmoud Ahmadinejad (2005–2013) sought to limit the role of non-state actors in order to enhance the hegemony of the state vis-à-vis Iranian society. During the presidencies of Mohammad Khatami and Hassan Rouhani (1997–2005 and 2013-present, respectively), however, the IRI agenda has acknowledged the role of non-state actors and been more open to the multi-stakeholder framework of internet governance. The article concludes that the overemphasis on these three issues has led the IRI to ignore the complexity of the emerging regime of global internet governance and, consequently, to overlook prevalent issues such as transnational cybercrime.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.009 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".