MétaCan
Menu
Back to cohort
Record W2075355143 · doi:10.1108/02610151011024466

Re‐thinking<i>tanawwo</i>(diversity) and<i>musawat</i>(equality) in the Middle East

2010· article· en· W2075355143 on OpenAlexaff
Jawad Syed, Ronald J. Burke, Feride Acar

Bibliographic record

VenueEquality Diversity and Inclusion An International Journal · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicGender Diversity and Inequality
Canadian institutionsYork University
Fundersnot available
KeywordsDiversity (politics)Middle EastContext (archaeology)Extant taxonOriginalityInclusion (mineral)Value (mathematics)Variety (cybernetics)Field (mathematics)SociologyPolitical sciencePublic relationsSocial scienceGeographyComputer scienceQualitative researchLaw

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to offer an editorial introduction to the special issue on “Diversity management in the Middle East”. Design/methodology/approach The paper reviews the state of extant research on diversity and equal opportunity in the Middle East. It also offers an overview of the papers included in the special issue and the unique contribution they make to this field of knowledge. Findings Findings vary from one paper to the other; however, overall, the papers in the special issue bring to fore alternative types of national and corporate institutions, theoretical ideas, activities and challenges involved in diversity and equality management in the Middle East. Research limitations/implications The papers offer some fresh insights in terms of theorizing and enacting diversity and equal opportunity in departure from the dominant Anglo‐centric theorizations in this field. Practical implications Policy makers as well as business managers may take into account various findings and recommendations offered in the papers in formulating context‐specific policies and practices of diversity management in the Middle East. Originality/value There are not many researchers interested in this field in the Middle East. Thus there are relatively few high quality research papers being produced. Those that are published appear in a wide variety of journals never achieving a critical mass. And the central role of national culture and values is rarely examined. The current (special) issue of Equality, Diversity and Inclusion addresses these gaps.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Open science
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.216
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0280.001
Scholarly communication0.0000.002
Open science0.0020.024
Research integrity0.0000.001
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 head0.181
GPT teacher head0.324
Teacher spread0.143 · 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 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

Citations11
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueEquality Diversity and Inclusion An International JournalSame topicGender Diversity and InequalityFrench-language works237,207