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Record W2601550898 · doi:10.5539/jsd.v10n2p191

Feasibility Analysis Functions of Iranian Universities in Achieving Sustainability

2017· article· en· W2601550898 on OpenAlexvenueno aff
Mehdi Zakerian, Zeinab Sadoughi, Seyed Abdolamir Nabavi, Reza Mahdi

Bibliographic record

VenueJournal of Sustainable Development · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicSustainability in Higher Education
Canadian institutionsnot available
Fundersnot available
KeywordsSustainabilityPromotion (chess)EmpowermentSustainable developmentPosition (finance)BusinessOrder (exchange)Descriptive researchAsidePublic relationsPolitical scienceEconomic growthSociologyEconomicsSocial science

Abstract

fetched live from OpenAlex

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.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.014
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.077

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.021
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0040.003
Science and technology studies0.0040.002
Scholarly communication0.0050.004
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

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.

Opus teacher head0.025
GPT teacher head0.342
Teacher spread0.318 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2017
Admission routes1
Has abstractyes

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