Hallucinations Research in a Time of Crisis
Notice bibliographique
Résumé
Across the globe, the coronavirus pandemic has had deep and persistent impacts on mental as well as physical health. Hallucinations researchers must work together to address a number of urgent new challenges, including to understand the effects of lockdown and social isolation on susceptibility to unusual experiences such as auditory and visual hallucinations, particular vulnerabilities to such experiences among older people, and non-veridical experiences of loved ones who—tragically and increasingly as a result of this terrible virus—are no longer there. The International Consortium on Hallucination Research (ICHR) was founded in 2011 with a view to facilitating collaboration among hallucinations researchers worldwide. Over 2 sunny days in September 2019, the biennial meeting of the Consortium was held in Durham, United Kingdom, with the generous support of the Wellcome Trust. Sixty-eight delegates from 16 different countries attended the meeting, which was organized around the collaborations of 14 working groups addressing different aspects of hallucinations research. Working groups were at various stages of development, with several planning to report more fully at the ICHR biennial meeting scheduled for Groningen, the Netherlands, in 2021. This Invited Theme presents findings from 4 of the 2019 working groups. Kamp et al’s multidisciplinary team1 investigates hallucinations and other unusual sensory experiences in individuals who have been bereaved, highlighting phenomenology, culture, and theoretical models, as well as considering relations between sensory and quasi-sensory “experiences of the deceased” and hallucinations in psychosis and other psychiatric disorders. Badcock et al2 present a practical review of hallucinations in older adults, including recommendations for professional training and practice. Leptourgos et al3 take an interdisciplinary approach in integrating research on hallucinations experienced under the influence of psychedelics with those occurring in schizophrenia. Finally, Humpston et al4 examine the use of real-time functional magnetic resonance imaging (fMRI) neurofeedback in relieving distressing auditory verbal hallucinations, making recommendations for methodological advances and future empirical research. As this theme was being assembled, we were deeply saddened to learn of the untimely death of Martin Fortier-Davy, a contributor to this collection. Martin was an outstanding and widely collaborative young scholar of philosophy and anthropology who had already made substantial contributions to the fields of hallucinations, psychedelics studies, and the diversity of consciousness. At the time of his final illness, he had been about to defend his PhD in cognitive sciences before a planned move to the University of California, Berkeley, for a postdoctoral fellowship from the Fyssen Foundation. This Invited Theme is dedicated to his memory.
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 | 0,002 | 0,008 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,003 | 0,003 |
| Communication savante | 0,004 | 0,003 |
| Science ouverte | 0,000 | 0,002 |
| Intégrité de la recherche | 0,002 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,000 |
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.
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 ».