Social Accountability of Medical Schools to Indigenous Students: A Critical Qualitative Analysis of Trainee Experiences in Western Canadian Institutions
Notice bibliographique
Résumé
As medical schools increasingly aspire towards diverse student bodies, external directives such as the Truth and Reconciliation Commission (TRC) of Canada’s Calls to Action may guide efforts to achieve Indigenous inclusion. This research focuses primarily on call to action number 23, in which all levels of government (and presumably bodies funded by these) are compelled to increase the number of Indigenous health care professionals in Canada. This study begins by noting that simply increasing the number of Indigenous medical students via recruitment would be an unsatisfactory response; dilemmas around retention challenge institutions to grapple with how inclusion of diverse students may be accomplished, and preparation for successful careers ensured. In order to address these challenges, this qualitative research gains insight from three Indigenous medical students and four Indigenous physicians, exploring their time as medical students and in particular the barriers and facilitators to success they experienced as learners. Data was collected through semi-structured, in-depth interviews carried out with each participant, and were analyzed using coding strategies informed by grounded theory. The findings indicate participants faced barriers to success due to the colonial legacy of institutions, including structural violence, reported to most prominently be experienced as racism. Institutional efforts to diversify student bodies were characterized as superficial if focused narrowly on simply increasing the numbers of admitted Indigenous trainees, without institutional changes for inclusion. Lack of broader efforts for inclusion played out in personal experiences among the current and former trainees, for instance in fearing judgement from others within medical schooling should one self-identify as Indigenous. Success was found in connecting with other Indigenous people in medical schools. Physical spaces on campuses were noted to facilitate such connection. Important to participants were efforts to increase the capacity to address racism towards all people within medical schools. As medical institutions aspire to acknowledge historic wrongs through Indigenous inclusion, they contribute to the underlying intention of closing gaps in health outcomes between populations in Canada. This opens opportunities for inclusion of Indigenous ways of healing and understandings of wellness as central to achieving health equity.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,016 | 0,022 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,003 | 0,005 |
| Études des sciences et des technologies | 0,035 | 0,033 |
| Communication savante | 0,009 | 0,004 |
| Science ouverte | 0,004 | 0,012 |
| Intégrité de la recherche | 0,003 | 0,005 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 source (Gemma direct ou Codex distillé), 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 ».