Development of Professional Relationships in RISE for Health and Wellness.
Notice bibliographique
Résumé
Background: Community-capacity building is an important tenet required to improve the health of minority communities. One avenue of improving the health of minority communities is by developing champions of health who are capable of learning and disseminating information along their social circles. Through this program we have noticed the development of professional relationships between session coordinators, guest speakers and participant recruitment aides. Methods: Following every session, participants provided feedback on what they have learned, session improvement ideas, and how participants can utilize their novel knowledge. In addition, focus groups pertaining to areas of interest for future programs were conducted to inform speakers about points of interest for students. New speakers were sourced through a combination of methods including insights gathered from focus groups and post-session reflections as well as conducting thorough and meticulous searches. These inputs helped us identify and assess the suitability of the speakers for future sessions. Our efforts encompass both in person and online meetings in which we communicated the needs and expectations of the participants and the program with the potential speakers. The potential speakers also evaluated the program’s alignment with their interests and communicated their specific requirements. Novel techniques such as in-class presentations, Instagram posts, and standardized flyers were also utilized to recruit both participants and speakers. Results: Since 2017, we have continuously worked with physicians, researchers, high schools, and other youth engagement programs to develop a comprehensive health-based syllabus for high school students. Focus groups following every program and post-session surveys have resulted in continuous feedback and areas of improvement for speakers and us. One observable trend is an increase in positive feedback with returning speakers from previous years. However, we have noticed that the expectations of students continue to evolve annually due to the variability in backgrounds of participants. Due to consistent meetings and feedback aimed at improving the provided sessions, long-lasting relationships have been developed resulting in continued annual involvement of professionals with participants and volunteers. Conclusion: We observed an increase in rapports with individuals and organizations across Calgary through our grass-root initiative. Every year, students provide beneficial feedback while also indicating that sessions are more beneficial than years before. We continue to develop novel relationships while continuing our current relationships so that the best information may be presented in the most manageable way for students. We aim to follow up with speakers directly in the nearby future to see how our program has changed their own practices.
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 | 0,027 | 0,027 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,001 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,015 | 0,008 |
| Communication savante | 0,010 | 0,006 |
| Science ouverte | 0,002 | 0,018 |
| Intégrité de la recherche | 0,004 | 0,012 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,025 | 0,008 |
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 ».