Establishing a <i>Trainee Section</i> in the CIM
Notice bibliographique
Résumé
The Clinician Investigator Trainee Association of Canada – Association des cliniciens-chercheurs en formation du Canada (CITAC-ACCFC) is a national organization composed of MD+ trainees enrolled in MD/MSc, MD/PhD, and Clinician Investigator Programs (CIP) across Canada. In less than three years since its conception, CITAC-ACCFC has become an established organization with over 200 members from fifteen academic institutions. The mission of the CITAC-ACCFC is to organize and promote activities that support clinician investigator trainees in Canada, with the intention to improve academic and post-graduate career opportunities, expand institutional and public awareness of clinician investigator programs, and develop a nationally accessible information database of student and program development. The CITAC-ACCFC aims to improve the early-career conditions of clinician investigators in order to expand and advance innovative research initiatives within Canada. Throughout its development, CITAC-ACCFC has relied on the Canadian Society for Clinical Investigation (CSCI) for mentorship and guidance. In an exciting development, the relationship between CITAC-ACCFC and CSCI has enabled an innovative opportunity for early career development through a new collaboration- the creation of a Trainee Section in the Clinical and Investigative Medicine (CIM) journal. As a forum through which work on diverse topics can be shared with the global community, the CIM Trainee Section will create unique opportunities for professional development. Trainees in MD+ programs represent the next generation of clinical-investigators, who will integrate cutting edge research and compassionate patient care throughout their careers. Both professions require excellent communication skills, and through the Trainee Section, MD+ trainees, their supervisors, and MD+ Program Directors, will be able to focus on mentorship, academic training, financial planning, and career development, among other topics devoted to MD+ trainees. In addition to articles highlighting the research activities of trainees, the Trainee Section will feature clinical work, review articles, first chapter of theses, book reviews, and opinion pieces. This focus of the Trainee Section will complement CIM’s current focus on original research and issues of interest to the CSCI. It is therefore fitting to establish a Trainee Section that is dedicated to addressing issues arising at an earlier stage of training. As MD+ organizations are being established globally, the Trainee Section will strive to become an international forum that focuses on MD+ training. By increasing the international readership of CIM through the CITAC website, we will aim to engage MD+ trainees, program directors, university administration, and other leaders in education, to advocate for issues of national and global relevance. As trainees will be responsible for overseeing the editorial and peer-review process of the Trainee Section, we anticipate that this will provide an avenue by which to foster stronger interactions and collaborations among trainees on our Editorial Board, junior investigators, and senior faculty, while providing critical editorial experience for board members. Our team of Editors will ensure that articles are reviewed in a fair and timely manner, respecting the need to promptly publish articles of immediate relevance. We encourage all MD+ trainees to participate in the Trainee Section editorial and/or peer-review process. Additional details can be found on our website at: http://www.citac-accfc.org/portal/ As MD+ trainees, we are optimistic about the future of both basic science and clinical research. This is an exciting time to be an MD+ trainee, and we are confident that the creation of a Trainee Section will only augment this positive experience. We strongly encourage you to publish your work in the Trainee Section and become part of an emerging global community of MD+ trainees, who are keen on tackling health issues that affect us irrespective of our geographic, cultural, or racial borders. We look forward to receiving your articles.
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 | 0,041 | 0,039 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,002 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,004 | 0,002 |
| Études des sciences et des technologies | 0,009 | 0,003 |
| Communication savante | 0,008 | 0,005 |
| Science ouverte | 0,004 | 0,017 |
| Intégrité de la recherche | 0,006 | 0,007 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,044 | 0,027 |
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 ».