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Record W4230322192 · doi:10.23918/ijsses.v5i3p95

Towards Interdisciplinarity in the Arab World: The Need for Interdisciplinary Studies in the Nascent Saudi Universities

2019· article· en· W4230322192 on OpenAlexaboutno aff
Abdelmagid Abdelrahman Awadelkarim

Bibliographic record

VenueInternational Journal of Social Sciences and Educational Studies · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicSocioeconomic Development in MENA
Canadian institutionsnot available
Fundersnot available
KeywordsInterdisciplinarityEngineering ethicsPolitical scienceSociologySocial scienceEngineering

Abstract

fetched live from OpenAlex

Interdisciplinary studies/sciences are currently flourishing in numberless Western universities. There are currently, a variety of interdisciplinary research centres, programmes and departments, in many Western universities (sometimes even colleges as in the case of University of British Columbia in Canada). International conferences and special magazines are presently being dedicated to these issues and trends all over the world. By way of contrast, the Arab world, with the exception of very few cases, this tendency is yet to be known, let alone be introduced. It would, therefore, be immensely imperative for the nascent universities, Majmaah university included, to introduce interdisciplinary studies in their undergraduate/postgraduate programmes/plans. It is here that the nascent universities in the Arab world can markedly excel by exploring new horizons, as well as by probing a largely virgin space in education and research. In this way, they can get more competitive in an increasingly tough and pressing labour market, hence can considerably contribute to the knowledge economy of today's time. This paper argues for the need to incorporate interdisciplinary studies/sciences and interdisciplinarity, into the programmes of Arab universities, in general, and the newly established Saudi ones, to be more specific (Majmaah). Data were collected via an array of mixed methods. Chiefly, group discussions and interviews with top managers, high-ranking administrators, educationalists, scholars and pundits from all walks of academia were exploited in the study. Analysis primarily drew on an integration of both qualitative and quantative methods (noting that much of the data required in this study is of qualitative nature, and that much more recent social/human sciences research has importantly disclosed a special inclination towards qualitative data gathering and analysis). Results largely suggest not only the need for adopting and introducing interdisciplinary studies and interdisciplinarity in Majma'ah university, but also, generalizably in the rest of the other newly-established universities/colleges and Arab academia, at large.

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)0.006
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.322
Threshold uncertainty score0.910

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.097
GPT teacher head0.471
Teacher spread0.374 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations0
Published2019
Admission routes1
Has abstractyes

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