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Record W3145694212 · doi:10.22091/stim.2020.5770.1415

Challenges to Creating Impact in Humanities and Social Sciences in Iran: A Grounded Theory Analysis

2021· article· en· W3145694212 on OpenAlexaff
Hamid Golhasany, Tahere Hosseini, Mohammad Hassanzadeh

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicService-Learning and Community Engagement
Canadian institutionsMcGill University
Fundersnot available
KeywordsGrounded theorySnowball samplingViewpointsQualitative researchRelevance (law)Context (archaeology)PsychologySociologyPublic relationsPolitical scienceKnowledge managementSocial scienceMedicineGeographyComputer science

Abstract

fetched live from OpenAlex

Aim: Increasingly, researchers and universities are demanded to demonstrate the relevance of their publicly funded research projects to societal challenges and development. This societal contribution is referred to as research impact in Iran. The primary purpose of the present study was to evaluate the challenges of creating research impact in Social Sciences and Humanities (SSH) in Iran’s context. To do so, we investigated participants' viewpoints from the research community and potential research users. Methodology: This was a qualitative study with an explanatory orientation to address the study aim. Participants were SSH researchers and research managers at Iranian national universities as well as representatives of governmental organizations that had direct roles in the production or the use of research results. We used purposeful snowball sampling to identify participants with relevant knowledge and experience. Accordingly, we carried out semi-structured interviews with 16 participants. For analyzing the data, the grounded theory method was used, and then a final theory was formed. Findings:Data from the interviews represented broad challenges in the process of research to impact. Specifically, these challenges were classified into six categories, namely, the core phenomenon, causal, contextual, and intervening conditions, strategies, and consequences. Each of these categories relates to a different aspect of challenges that researchers or potential users face in knowledge mobilization and uptake of research evidence. Conclusions:The study revealed that the main obstacle to creating research impact in SSH in Iran is the lack of a definition for knowledge mobilization that is appropriate to SSH research. The current definitions and structures in universities are not consistent with the characteristics of SSH research and its audience. Furthermore, since this definition is not consistent with the nature of SSH research, researchers do not receive the necessary incentives and support for this purpose and are not able to integrate knowledge mobilization activities with their current academic activities and responsibilities. These findings emphasize the role of universities in facilitating the impact creation process by employing appropriate definitions and structures for knowledge mobilization.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.116
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.561
GPT teacher head0.608
Teacher spread0.048 · 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 teacher head, not a consensus.

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

Citations2
Published2021
Admission routes1
Has abstractyes

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