Feasibility Analysis Functions of Iranian Universities in Achieving Sustainability
Bibliographic record
Abstract
Realization of sustainable development requires role-playing of various institutions in order to promote and institutionalize the values of sustainability. One of the important actors in the pursuit of this purpose is universities, and according to most of analysts, promotion of sustainability depends on the formation of sustainable universities. This study aimed to investigate the role and position of university in realizing sustainable development. For this purpose, the concept of sustainability and its dimensions and also the role of university in developing the values related to sustainability and empowerment of human resources were investigated through descriptive - analytic study and according to its results, in-depth interview was used to interview with ten experts in this field about how to realize this aim within the universities. Results showed that there is direct relationship between academic activities and promotion of the values of sustainability if structures and mechanisms of universities evolve purposively. In recent years, some universities have taken concrete steps in this regard, but at the Iranian universities, aside from some scattered efforts, the formation and development of activities related to sustainability were inadequate. So, only with accurate policies and targeted programs, it can be hoped to realize development based on the values of sustainability through the functions of universities.
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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 | 0.014 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".