MétaCan
Menu
Retour à la cohorte
Enregistrement W2083167067 · doi:10.1097/01.acm.0000222274.98329.60

Bridge Over Troubled Water

2006· article· en· W2083167067 sur OpenAlexaff
Nir Lipsman

Notice bibliographique

RevueAcademic Medicine · 2006
Typearticle
Langueen
DomaineEngineering
ThématiqueAnatomy and Medical Technology
Établissements canadiensQueen's University
Organismes subventionnairesnon disponible
Mots-clésSurpriseBattleApprenticeshipBossCraftClichéLeaguePsychologyMedical educationMedicineVisual artsHistorySocial psychologyArtEngineering

Résumé

récupéré en direct d'OpenAlex

“Nir, will you be joining us in clinic?” my supervisor asked before his Tuesday morning ritual. Being my first day, I was taken by surprise, and embarrassed, I managed to nod and thought, “As long as by join you mean stand back and out of the way.” Up until this point, I was used to being ignored. I didn't realize that my attitude would quickly change. I had the good fortune during the summer after my second year of medical school to join the research team of a busy surgical specialist in a bustling metropolitan hospital. Not knowing what to expect, I was anticipating a summer of busy work and a constant battle with residents for face time with the professor. The professor, or “The Boss” as he is known, has a reputation for being blunt and to the point, a no-nonsense clinician, who also happens to be a brilliant surgeon. I imagined that any wisdom I could glean, any experience I could absorb over the course of those months, would be invaluable. Joining him in clinic, for example, was quite an experience. With a gaggle of residents and students in tow, the experienced surgeon would navigate seamlessly through a history and physical that would disorient even the keenest medical student. Watching him work, I couldn't help thinking of myself as an apprentice, as a student learning from a master of his craft. The Boss, however, wasn't satisfied with just letting me watch and insisted that I take an active role in his clinic. He assigned me patients to see and report on; it was terrifying yet thrilling, and I appreciated the opportunity. That summer was the first time that an individual physician treated me as an active and equal member of his team. Having become accustomed to the label of “useless medical student,” it was exciting and refreshing to be involved and, even more so, to be valued. Over that summer, research fellows asked for my opinion regarding anatomic localization and The Boss asked that I present an article at the weekly journal club. I had found an environment full of people who not only shared my budding interests, but who were willing to take the time and effort to help me develop them further. That summer, I discovered the confidence I needed to decide that I wanted to be a surgeon. With my preconceptions altered and stereotypes corrected, I finished my summer experience satisfied that my career decision can now be a source of solace rather than a source of continued stress. I lamented for my fellow students who were left to navigate the troubled waters of early career decision making without the benefit of a mentor, or a group of them, as I had over that summer. I realized that such relationships are keys not only for future academic collaborations but are the foundations of personal networks that allow students and practicing professionals to be satisfied with and passionate about their careers. It would be presumptuous to speak on behalf of all medical students; however, it is not a stretch to say that we all want careers that will make us happy, that will challenge us, and that will provide the opportunity to change our patients' lives for the better. Choosing the right career is the most important decision that a medical student will make, and it took a career-affirming summer to help me realize that meaningful mentorship ensures that the decision is not made alone. Nir Lipsman

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 distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,101
Score d'incertitude au seuil0,861

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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.

Tête enseignante Opus0,010
Tête enseignante GPT0,243
Écart entre enseignants0,233 · 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 tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

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

En bref

Citations2
Publié2006
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueAcademic MedicineMême sujetAnatomy and Medical TechnologyTravaux en français237 207