New work, old power: inequities within the labor of internationalization
Notice bibliographique
Résumé
Purpose The aim in this paper is to extend Dorothy Smith's conceptual understanding of work to consider the emerging labor of “knowmads” within internationalization of higher education. Through original research on everyday experiences of internationalization, the authors seek to illuminate the ways individuals develop skills and competencies in relation to these new forms of work in order to address the reproduction of inequities. The authors make a connection between internationalization of higher education and knowmadic labor based on the premise that cross‐border education is often pursued in order to develop knowmadic attributes. Design/methodology/approach Through a critical institutional ethnography of one mid‐sized Canadian university, the paper uses survey and interview data gathered from students and faculty ‐ individuals who are involved in knowmadic labor connected to internationalization – to illustrate some of the study participants' daily experiences of internationalization coordinated by the institutional structures of the university in times of globalization. Findings It is concluded that internationalization and connecting new forms of work involved in becoming and producing knowmads not only bypass and disregard present inequities in higher education, but work to reproduce them in new ways. Practical implications The paper provides insight in regards to processes and allocation of work within internationalization, while addressing forms of social inequities that often cut across these practices and concludes with brief comments on the implications of academic knowmadic labor in Western higher education institutions engaged in internationalization. Originality/value While research has been conducted on work in international contexts, little has addressed “the labor” that is involved in becoming knowmads, and that of “producing” knowmads. The paper draws connections between the internationalization of higher education and knowmadic work showing that knowmadic labor is often preceded by knowmadic educational opportunities. The cosmopolitan vision of creating globally aware citizens, with international knowledge, skills, and competencies that institutions espouse, are assumed to be good per se , and to lead to knowmadic qualities and attributes required in a knowmad society. The paper questions these assumptions and the relations of power on which they rest.
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.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».