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Enregistrement W4407387371 · doi:10.1080/10564934.2025.2454684

Neoliberal Repercussions in Postsecondary Education Sector: A Comparative Case Study Between Uzbekistan and Bangladesh with Emphasis on Equity, Diversity, and Inclusion

2024· article· en· W4407387371 sur OpenAlex
Dilsora Fozilova, Mustahid Husain

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Notice bibliographique

RevueEuropean Education · 2024
Typearticle
Langueen
DomaineSocial Sciences
ThématiquePolitics and Conflicts in Afghanistan, Pakistan, and Middle East
Établissements canadiensUniversity of TorontoUniversity of the Fraser Valley
Organismes subventionnairesnon disponible
Mots-clésInclusion (mineral)Equity (law)Diversity (politics)Economic growthPolitical scienceWater sectorPostsecondary educationSociologyHigher educationSocial scienceEconomicsBiology

Résumé

récupéré en direct d'OpenAlex

This analytical article problematizes the observable similar phenomenon faced by the postsecondary education sector in Uzbekistan and Bangladesh, in particular, the outcomes on the nations’ social science education vis-à-vis equity, diversity, and inclusion (EDI). Both countries started implementing neoliberal policies since the beginning of the 1990s through budget cuts in social science and through privatization employing market development advisory. The similarities highlighted by the phenomenon appear interesting despite the two countries’ distinct differences in geography, culture, climate, demography, and history, among others. First, we assess the market development policies in higher education in relation to EDI practices. In both countries, the needs of the students with disability and other forms of impairment are acute. The expectations of the religious minority and gender diverse students remain largely nonmaterialized. We critique a tendency in both countries toward picking and choosing market development policies that favor university administrators and owners. The observed outcomes, unfortunately, appear to weaken higher education objectives, in particular EDI. In addition, these outcomes subtly discourage students pursuing social change and market EDI philosophy, concepts, and theories as unattractive, nonprofitable pursuits. We argue that the outcomes can produce zombie graduates who remain unable to contribute to the broader debates in inclusivity and critical thinking. The outcomes can also result in fragmented, fragile scholars, practitioners, and members of civil society, who feel discouraged to produce cutting edge EDI research and scholarship. The paucity in the EDI phenomenon in Uzbekistan and Bangladesh thrives on dual-hegemonic and client–patron relations that undermine intellectual and political diversity. Our findings on the credentials and the quality of dissertations and publications produced by the academics in the countries’ social science sector, in comparison with benchmark scholars and their institutions, form a depressing yet similar pattern. We also came across nonexistence of ethical practices in the domain of social research, as well as unscrupulous practices in research methodology and scholarly publishing platforms, such as Scopus and Cambridge Scholars. The phenomenon complements academic censorship and a culture of fear that appears to envelop social science research in Uzbekistan and Bangladesh. Often, the persecution of scholars and practitioners with a different political view also appears to sustain a climate of apprehension. This social environment of fear extends to the parents of students. Many students remain understandably reluctant to engage in research or discussion on gender diversity and politically sensitive subjects. Consequently, students often choose safer, noncontroversial research topics, for example, for the bachelor’s in business administration, which may increase placement opportunities but stifle intellectual growth and critical thinking. At the same time, educators often avoid certain topics in the classroom, such as transgender rights, thus depriving students of a holistic education that addresses inclusivity and critical social and political issues.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesÉtudes des sciences et des technologies
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: Qualitatif
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,327
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0030,000
Communication savante0,0000,000
Science ouverte0,0000,001
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,073
Tête enseignante GPT0,388
Écart entre enseignants0,315 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle