A multidisciplinary approach to Mental Health and Consciousness Studies
Notice bibliographique
Résumé
This is an introductory article to the issue titled "Integrative Psychotherapy and Non-Ordinary States of Consciousness", developed with the intention of disseminating scientific knowledge on the field of human consciousness and its potential applications in mental health. For this issue, we have gathered experts from the fields of psychedelic-assisted therapy, neuroscience, psychology, and welfare technologies. By presenting therapeutic practices based on contemporary evidence, following the highest standards of research and clinical practice, we want to counteract the spread of misinformation and unethical approaches that can potentially harm individuals seeking alternative therapies or exploring non-ordinary states of consciousness. Context This publication included in the special issue "Integrative Psychotherapy and Non-ordinary States of Consciousness" of the Journal of Consciousness and Perception Studies. JCPS (Journal of Consciousness and Perception Studies) is an open-access scientific journal that delves into the intricate realms of consciousness and perception. With its innovative format, including video publications, JCPS offers a dynamic platform for the dissemination of both research and educational materials.Dedicated to advancing our understanding of human consciousness and the complexities of perception, JCPS embraces a multidisciplinary approach, welcoming contributions from researchers across neuroscience, psychology, technology, philosophy, cognitive science, and related fields. More information: http://www.eiocr.com About the Author: Diego Gonzalez-Rodriguez, Ph.D. is a professor of the Faculty of Technology and Science at Universidad Camilo Jose Cela (UCJC) and a researcher in the Computing and Artificial Intelligence Lab. His research is situated in the intersection of Cognitive Science, Complexity Science and Information Technologies. Particularly, in the application of both data-driven and ethno-phenomenological research in consciousness studies, the development of computational models of cognition, and the study of psychosocial dynamics in virtual worlds. As a professor, he teaches for several programs such as: Bachelor in Artificial Intelligence & Robotics, Bachelor in Biomedical Engineering, Bachelor in Computer Engineering, Bachelor in Business & Technology, and Master in Data Science. He is also the coordinator of Consciousness Research at the SENSE-GARDEN Association, a non-profit organization based on Norway dedicated to the advance of Cognitive Science, Welfare Technology and Consciousness Studies. Additionally, he collaborates with the Norwegian University of Science & Technology (NTNU). He earned his Doctorate from Universidad Carlos III de Madrid (UC3M), a Master of Science in Artificial Intelligence from Universidad Politécnica de Madrid (UPM), and a Computer Systems Engineering degree from University of Castilla-La Mancha (UCLM). He also holds a Postgraduate degree in International Development Cooperation from the same university and a Postgraduate degree in Gestalt Psychotherapy from Universidad Española de Educación a Distancia (UNED). Additionally, he has pursued further studies in anthropology, cognitive sciences, psychology, and information technologies. He has also delivered talks, written publications, and developed projects on these subjects. He has been a Research Fellow at the P2P Lab (Tallinn University of Technology) and at the University of North Carolina. He has contributed to institutions such as University of Toronto, CNRS, Universidad Rey Juan Carlos, Universidad Politécnica de Madrid, and Universidad de Valencia. He has also worked for several years in the IT industry as Software Engineer. He has founded several startups and projects, being a pioneer in the application of innovative concepts (such as blockchain and metaverse technologies) in social cognition. His work encompasses Cognitive Science, Peer Learning, Welfare Technology, Consciousness Studies, Complexity Science, Decentralized Systems, IT, Cognitive Anthropology, Mental Health, Social Dynamics, Biological Computing, and Software Engineering. Contact: LinkedIn
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 | 0,016 | 0,011 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,008 | 0,005 |
| Études des sciences et des technologies | 0,007 | 0,029 |
| Communication savante | 0,013 | 0,011 |
| Science ouverte | 0,002 | 0,014 |
| Intégrité de la recherche | 0,005 | 0,009 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,001 |
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 ».