Iran's “Twenty-Year Vision Document”: An Outlook on Science and Technology
Bibliographic record
Abstract
In 2005, Iran outlined its goals in economic, science and technology for the next twenty years, Sanad-e- Cheshm Andaz-e Bist Saleh (The Twenty-Year Vision Document), a working plan to raise the country's ranking to that of the first in the region. This article aims to map Iran's scientific and technological performance over five years since the ratification of the plan. Three main areas of science and technology—the percentage of GDP invested in knowledge, scientific performance and technological performance—were used to compare Iran's scientific output with a set of regional countries. The study revealed that Iran's investment in science to inspire technology (the linear model) has been able to nourish scientific performance in the form of rising publication, whereas the neighboring countries followed a more diversified pathway and inspired science from technological advances. Thus, the number of countries in the region capable of competing with and even outstripping Iran in terms of technological and hence scientific performance has increased.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.003 |
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".