Welcoming <i>Headache</i> 's 2024 incoming class of Assistant Editors
Notice bibliographique
Résumé
The editorial leadership team at Headache is pleased to announce our fourth incoming class of Assistant Editors. These trainees will join us from several cities in the United States, Canada, and China to make up the newest members of our junior editorial board. During their upcoming 2-year term, they will be mentored by Headache's senior editorial staff, and they will have the chance to build lasting and meaningful relationships with established scholars in the headache field. Via didactic and hands-on learning, they will become proficient in peer review and publication processes and understand current issues in scholarly publishing. They will have the chance to make their mark on Headache manuscripts and the opportunity to develop programs and/or projects to further propel Headache into the future. We look forward to working with these outstanding young professionals and nurturing them in their careers at Headache and beyond. Dr. Wei Dai is a postdoc at the Headache Center, Department of Neurology, in the Chinese PLA General Hospital. She applied graph theory and deep-based methods on functional magnetic resonance imaging and explored the underlying pathophysiology and neuroimaging signatures in migraine and medication-overuse headache. She has published journal articles in Annals of Neurology, Nature Communications, Cephalalgia, and The Journal of Headache and Pain. She received her MD in Neurology from the Chinese PLA Medical School and was a joint MD student at Harvard Medical School. Dr. Carolina Guillot is originally from Miami, FL (where she was born and raised on croquetas, cafecito, and pan Cubano). She is currently an adult neurology resident at the University of Colorado in Denver. Headache medicine is her passion within neurology. Before pursuing medicine, she was a cartoonist with her own Etsy store that sold original handmade greeting cards. Outside of work, she loves to be out in the sunshine, spend time with friends, and watch scary movies. Dr. Sina Marzoughi is a graduating adult neurology resident at the University of British Columbia (UBC) where he served as Chief Resident. He completed a Bachelor of Science, Honors, in neuroscience at the University of Alberta and medical school at the University of Calgary prior to moving to Vancouver, BC for his residency. Dr. Marzoughi has a strong interest in headache medicine as well as clinical research in headache. He will be completing a clinical research fellowship in headache with Dr. Peter Goadsby at King's College London. Dr. Minali Nigam is a senior neurology resident at Mass General Brigham and will be starting her headache fellowship at the John R. Graham Headache Center at Brigham and Women's Faulkner Hospital. She completed her undergraduate studies at Duke University. She graduated from UNC Hussman School of Media and Journalism and UNC School of Medicine, where she was a member of the AOA and Gold Humanism Honors Society. During medical school, she was a reporter for North Carolina Health News and CNN. As a physician–journalist, she hopes to share stories that raise public health awareness and make medical knowledge accessible to diverse audiences. She enjoys yoga, running, exploring new restaurants, and spending time outdoors with family. Dr. Meghan Piccinin is currently a headache medicine fellow at the Cleveland Clinic Neurologic Institute. She obtained her undergraduate and master's degrees from the University of Western Ontario, focusing on cell biology, pharmacology, and pathology before completing medical school at Michigan State University and neurology residency at the University of Pittsburgh Medical Center. She will be starting as neurology faculty with Allegheny Health Network in Pittsburgh later this summer, 2024. She has particular interests in the pathophysiology and epidemiology underlying headache disorders, drug development, and health-care economics. She enjoys skiing, mountain biking, and circus fitness in her free time. Dr. Kevin Spiegler hails from New Jersey. He received his undergraduate degree from Rutgers University, where he graduated summa cum laude. He then completed the MD/PhD program at Rutgers New Jersey Medical School. His doctoral work focused on associative learning deficits in both mild traumatic brain injury and anxiety vulnerability. Currently, Dr. Spiegler is a neurology resident at New York University, where he is serving as chief education resident in his final year of training. He is excited to pursue a headache fellowship at the John R. Graham Headache Center at Brigham and Women's Faulkner Hospital this upcoming academic year. He enjoys playing and watching sports, playing guitar, and traveling in his free time. Sarah M. Bobker: Conceptualization; writing – original draft; writing – review and editing. Sarah M. Bobker declares no conflicts of interest.
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 | 0,006 | 0,032 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,002 |
| Bibliométrie | 0,004 | 0,001 |
| Études des sciences et des technologies | 0,004 | 0,001 |
| Communication savante | 0,011 | 0,004 |
| Science ouverte | 0,002 | 0,002 |
| Intégrité de la recherche | 0,005 | 0,006 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,088 | 0,066 |
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 ».