Exploring Fairness and Opportunity in the Admissions Process of Canadian Dental Schools
Notice bibliographique
Résumé
Decades of evidence have demonstrated a lack of workforce diversity and sustaining disparities in dentistry. Underrepresented minority students may face challenges and implicit bias during the den-tal schools’ admission/selection process – which perpetuates the disparities. This dissertation want-ed to explore the fairness and opportunities for people who have been prevented from studying dentistry – more specifically, the link between Equity-Diversity-Inclusion (EDI) and the admission practices in dental schools. The literature has shown a growth in publications on equity measures during dental admission/selection processes, indicating a positive movement in this field. The ef-forts performed by dental schools to increase the representation of minorities in the profession have been made and become more internationalized and multifaceted recently. Some strategies to address both access and retention challenges included: prioritization of holistic approaches (during selection of candidates) and implementation of recruitment programs (which combine mentoring opportuni-ties and skills-based activities). Nevertheless, while these initiatives have demonstrated progress toward a more equitable dental workforce, sustained commitment and adaptation of strategies are essential to ensure lasting and meaningful change. The second and third parts of this dissertation focused on Canadian institutions’ admissions practices. Through a document analysis of dental schools’ websites (visual and written information), I noticed that the concept of EDI is connected to the admission process by showing prospective students that the university environment is welcom-ing, globalized, and that diverse students are embraced by the institution. But the websites’ commu-nication had several problems, including the poor choice of words and the lack of an equity defini-tion and equity information. At last, through semi-structured interviews, I interviewed the inter-viewers of the admission processes. Ten individuals who had acted as interviewers in dental schools’ admissions were vocal about the strengths and weaknesses in the process. Predominantly, participants criticized what they consider a defective process. The participants’ experiences revealed a tension between objectivity and holistic evaluation. This dissertation suggests adopting positive and alternative strategies, such as integrating equity-focused strategies for people involved in the admission process. These efforts require a combination of human, financial, and strategic resources.
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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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 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 ».