Graduates’ Reflections on Professionalism and Identity: Intersections of Race, Gender, and Activism
Notice bibliographique
Résumé
Phenomenon: Professionalism as a construct is weaponized to police and punish those who do not fit the norm of what a medical professional should look like or behave, more so when medical professionals in training engage in protests for social justice. In addition, professionalism silences trainees, forcing them not to question anything that looks or feels wrong in their eyes. Socialization in medicine, in both the undergraduate and postgraduate training spaces, poses challenges for contemporary medical professionals who are expected to fit the shape of the ‘right kind of doctor.’ Intersectionality seems to impact how medical trainees experience professionalism, be it intersections of gender, race, how they dress or adorn themselves, how they carry themselves and who they identify as. Although there is literature on the challenges pertaining to professionalism, not much has been written about the weaponization of professionalism in medical training, particularly in the South African context. There is also a paucity of data on experiences of professionalism during or after social upheaval. Approach: This is part of a study that explored the experiences of professionalism of five medical trainees during protests and after protests, extending into their postgraduate training. The main study had 13 participants, eight students and five graduates, who were all interviewed in 2020, five years after the #FeesMustFall protests. For the five postgraduate participants, we looked at how gender, race, hairstyles, adornment, and protests played out in the experiences of professionalism as medical trainees at a South African university. We employed a qualitative phenomenological approach. An intersectional analytical lens was used in analyzing the transcripts of the five graduate participants. Each transcript was translated as the story of that participant. These stories were compared, looking for commonalities and differences in terms of their experiences. Findings: The participants, four males (three Black and one white) and one Black female, were victimized or judged based on their activism for social justice, gender, and race. They were made to feel that having African hairstyles or piercings was not professional. Insights: Society and the medical profession has a narrow view of what a doctor should look like and behave – it should not be someone who wears their hair in locks, has body piercing, or is an activist, least of all if she is a woman, as professionalism is used as a weapon against all these characteristics. Inclusivity should be the norm in medical education.
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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 | 0,003 | 0,001 |
| 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 | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 ».