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Enregistrement W4377836268 · doi:10.4103/1357-6283.293336

Co-editors' notes

2020· article· en· W4377836268 sur OpenAlexaboutno aff
Michael Glasser, Danette McKinley, Maaike Flinkenflögel

Notice bibliographique

RevueEducation for Health · 2020
Typearticle
Langueen
DomainePsychology
ThématiqueEmotional Intelligence and Performance
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésExcellencePublishingPsychologyMedical educationHealth carePower (physics)MedicinePolitical science

Résumé

récupéré en direct d'OpenAlex

This issue covers numerous and diverse topics related to health professions education and policy development. Contributions are truly global as we are publishing papers of authors from Africa, Argentina, Canada, China, India, Saudi Arabia, Sweden, and the United States. Of interest in this issue is that the scope goes beyond medicine alone, and in the spirit of health professions as a whole brings in disciplines such as dentistry and physiotherapy, as well as focus on the community. In the article, “Is Emotional Intelligence Related to Objective Parameters of Academic Performance in Medical, Dental and Nursing Students: A Systematic Review,” Singh et al. present the results of a systematic review aimed to address the question of the influence of emotional intelligence (EI) on objective parameters of academic performance in undergraduates in three disciplines. Databases were systematically searched for empirical studies which measured the EI of medical, nursing, or dental undergraduate students and compared it with academic performance. Findings of the review showed that EI has a greater role in the academic success of clinical year medical and dental students. In the paper, “Assessing Perceptions of Professionalism in Medical Learners by the Level of Training and Sex,” Spiwak et al. looked at male and female perceptions of 16 vignettes related to such items as lapse in excellence, inappropriate dress, lack of altruism, disrespect, shirking duty, and abuse of power. They found significant differences on many items, with females more likely to rate items as more severe. The authors conclude that more work is needed in the area of professionalism and sex. This is especially important in light of changing conceptions of gender. Rashid et al. – “Doctor, Teacher, Translator: International Medical Students' Experiences of Clinical Teaching on an English-language Undergraduate Medical Course in China”– offer a description of student experiences related to participation in and completion of an English language program. Nonnative English-speaking students indicate that while English proficiency was variable in their clinical teachers, they were able to navigate the challenges of studying clinical medicine from teachers with limited English skills. The students felt that other attributes such as enthusiasm, interactivity, and a desire to teach superseded English proficiency of the clinical teacher. The authors call for future study of clinical teacher perceptions of working with non native English-speaking students and graduate outcomes of students participating in the course. In “Rural Stream: An Effective Alternative to the Longitudinal Integrated Clerkship Model for Small Rural Communities,” Carson et al. provide insight into a regionalized medical program where students spend the first two and one-half years of their undergraduate degree in district hospitals. The authors emphasize the importance of immersion and community engagement. While a challenge, Carson et al. show that effective medical education can occur locally, in small rural communities. There are four Letters to the Editor in this issue. Abu-Zaid (“Where do Medical Students Submit Their Work?”) replies to an Education for Health paper contending that main stream journals should encourage publication of student research work. Kuntz et al. (“Video Review with Sports Performance Software Improves Trainee Endotracheal Intubation Time, Performance, and Confidence”) where the researchers take success from one sector and apply it to another. Gali et al. (“Introducing a Communication Skills Course in an Indian Dental Institution: An Academic Experience”) where the educators share their experience in introducing a communication skills module to preclinical undergraduates. Finally, Paraskevopoulos and Papandreou (“Physiotherapy Clinical Placement during the COVID-19 Pandemic”) propose an alternative method of clinical education delivery through an online platform. Please feel free to submit a Letter to the Editor to Education for Health in response to any topics in this issue that spark your interest or attention.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,015
score de la tête « metaresearch » (Gemma)0,126
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,741
Score d'incertitude au seuil0,866

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0150,126
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0030,003
Bibliométrie0,0040,003
Études des sciences et des technologies0,0020,001
Communication savante0,0080,006
Science ouverte0,0080,005
Intégrité de la recherche0,0100,007
Charge utile insuffisante (le modèle a refusé de juger)0,2590,122

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.

Tête enseignante Opus0,122
Tête enseignante GPT0,489
Écart entre enseignants0,367 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2020
Routes d'admission1
Résumé présentoui

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