Dental and allied dental students, staff, faculty, and administrators’ cultural inclusivity considerations: Results of the 2022 ADEA Climate Study
Notice bibliographique
Résumé
OBJECTIVES: Feeling welcome in an educational environment is crucial to achievement and well-being. The objectives of this climate study were to assess perceptions of how inclusive the dental and allied dental educational environment were, how good the chances were to reach one's potential, how social relationships and biases/inequities in relation to policies were experienced, and how support for others from diverse backgrounds was observed. The relationships between these constructs of interest were also explored. METHODS: A total of 10,281 students, 2596 staff, 4026 faculty, 359 administrators, and 443 administrators with faculty appointments from 58 US and eight Canadian dental schools, and 180 US and 12 Canadian allied dental education programs responded to the climate survey. RESULTS: The majority of participants agreed/agreed strongly that their school/program fostered a sense of community (69.2%) and promoted the appreciation of diversity (79.6%). Staff had the lowest mean responses, and administrators with faculty appointments had the highest (five-point scale with 5 = agree strongly: 3.54 vs. 3.97; p < 0.001/3.91 vs. 4.30; p < 0.001). This pattern was repeated in responses concerning whether career trajectories were progressing as anticipated (means: 2.62 vs. 3.23; p < 0.001) and career aspirations increased (3.18 vs. 3.81; p < 0.001). Students agreed they could get assistance from faculty, staff, and students (means = 3.97/3.95/4.25). Students reported the highest number of experienced biases/inequities in relation to six policies (mean = 1.34) and staff reported the highest number of biases/inequities related to 12 appointment policies (mean = 2.32). About a third did not agree/agree strongly that their school/program was supportive of transgender/gender nonconfirming persons (37.1%), emotionally, cognitively and/or physically disabled persons (29.8%), or persons from lesbian/gay/bisexual/questioning/other backgrounds (29.2%). The more inclusive they considered the environment to be, the more they believed they could reach their potential (r = 0.78; p < 0.001) and had positive relationships (r = 0.77; p < 0.001)), and the less they experienced biases/inequities (r = -0.17; p < 0.001). CONCLUSIONS: These findings should alert administrators that students, faculty, and staff experience their environment less inclusively than others do. Curricular educational interventions and staff/faculty development programs are needed concerning interactions with persons from diverse backgrounds. The more inclusive environments are, the stronger the belief that one's potential can be reached.
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 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 | 0,008 | 0,012 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».