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Enregistrement W3043081996 · doi:10.1136/jnnp-2020-bnpa.1

1 Soulful neurology

2020· article· en· W3043081996 sur OpenAlexaboutno aff
AJ Lees

Notice bibliographique

RevueJournal of Neurology Neurosurgery & Psychiatry · 2020
Typearticle
Langueen
DomaineMedicine
ThématiqueNeurological disorders and treatments
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésQueen (butterfly)NeurologyMedalMedicineFamily medicinePsychiatryHistoryArt history

Résumé

récupéré en direct d'OpenAlex

Born on Merseyside, Andrew Lees qualified in medicine at the Royal London Hospital Medical College in 1970. His neurological training was at University College London Hospitals and the National Hospital for Neurology and Neurosurgery, Queen Square. He also spent 1 year at L’Hopital Salpetriere, Paris. He has achieved international recognition for his work on Parkinson’s disease and abnormal movement disorders. He is an original member of the Highly-Cited Researchers ISI Database with an h-index of 130. Founder member of the international Movement Disorder Society, he was elected President (2004–2006) and co-edited the Movement Disorders Journal between 1995 and 2003. In 2006, he was awarded the Movement Disorders Research Award by the American Academy of Neurology and he was awarded the Association of British Neurologists Medal in 2015. At the age of thirty-two he was appointed to the consultant staff at the National Hospitals, The Middlesex, and Whittington Hospitals and in 1987 was elected a Fellow of the Royal College of Physicians. He was later appointed Professor of Neurology at the National Hospital for Neurology and Neurosurgery, Queen Square and was Director of the Reta Lila Weston Institute for Neurological Studies (1998–2012). He was Clinical Director of the Queen Square Brain Bank for Neurological Disorders (1985–2012) and Director of the Sara Koe PSP Research Centre (2002–2012). He is a Visiting Professor at the University of Liverpool and Queen Mary University of London, and has close collaborations with several Brazilian universities. For his contributions to Brazilian neurology he was elected as an overseas member of the Academia Nacional de Medicina and the Academia Brasileira de Neurologia. He was elected as a Council member of the Academy of Medical Sciences 2012–2015 and appointed as an Expert Adviser for the UK Government National Institute for Health and Care Excellence Centre for Guidelines (2006–2019). He received the Bing Spear Award in 2016 for outstanding contributions towards saner drug policies. He has delivered the Gowers Memorial Lecture at the National Hospital, The Inaugural Lord Brain Memorial Lecture at Bart’s and the Royal London Hospitals and David Marsden Memorial Lecture at the European Federation of Neurological Societies. He was the recipient of Stanley Fahn Lectureship Award at the MDS Dublin 2012, and has been awarded the German Society of Neurology’s 2012 Dingebauer Prize for outstanding scientific attainment in the field of Parkinson’s disease and Neurodegenerative Disorders, the Jay Van Andel award for outstanding research in Parkinson’s disease in 2014, and the Parkinson Canada’s Donald Calne Award and Lectureship for 2017. Through a process of reasoning that left little to the imagination the neurologists at The Royal London Hospital where I trained pulled black swans and zebras from their hats. During my training I was led to understand that it was just a matter of time before all disorders of the brain would be worked out and categorised in terms of anatomical electrical and chemical connections. This rational approach drew me in, and I selected diseases of the nervous system as my specialist subject. My first two neurology chiefs at University College Hospital were inspirational and kind. They warned me that it would take many years to learn how to join up the dots and become proficient at knowing where to look. One of them recommended that I should use textbooks only for reference but that I should read the Sherlock Holmes canon. Over time I came to understand that neurologists and criminal detectives both seek hidden truths and meanings in narrative and that both rely on a rigorous tried and tested method that pays attention to detail. Sherlock Holmes provided a romantic bridge to William Gowers and the serious business of neurology. Clinical research and a curiosity for cures should be an integral part of neurology William Seward Burroughs, who had appeared out of nowhere on the cover of Sergeant Pepper became my unlikely source of inspiration. He introduced me to the idea that nothing happens by chance and that novel scientific discoveries rely heavily on personally distinctive actions. He also helped me to understand that art is a complementary source of truth that enlists inventiveness to transport science beyond the acquisition of fact.

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)0,001
score de la tête « metaresearch » (Gemma)0,005
Version: metacan-v3-hybrid-931329e0061cStatut 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: Commentaire · Signal consensuel: aucune
Score de désaccord entre enseignants0,231
Score d'incertitude au seuil0,774

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,005
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,001
Études des sciences et des technologies0,0030,001
Communication savante0,0050,004
Science ouverte0,0020,004
Intégrité de la recherche0,0030,005
Charge utile insuffisante (le modèle a refusé de juger)0,2310,125

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 Opus0,026
Tête enseignante GPT0,265
Écart entre enseignants0,239 · 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.

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

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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