JNPT Special Topic Issues—Translational Research and Educational Resources
Notice bibliographique
Résumé
The June and September issues of JNPT will be dedicated to the Special Issue titled: “Promoting Optimal Function after Spinal Cord Injury.” Special Topic Issues are an important contribution of our journal. We have used them as an opportunity to synthesize information related to a topic that typically spans the basic to applied science continuum culminating with clinical application. This type of translation process describes our journal's mission and is crystallized in the special issues. I would like to suggest that the journal and its' special issues serve as a feedback mechanism enhancing the disciplines that inform neurologic physical therapy. Neurologic physical therapy is informed by many disciplines and in turn can influence the direction of these disciplines. Our special issues highlight this synergy. In a 1999 Special Topic issue on Neuroplasticity, basic scientist Dr. Randy Nudo, PhD, published his work. Several years later at a program in our Combined Sections Meeting, Dr. Randy Nudo returned to neurologic physical therapy community. It was evident from his presentation and direct reference, that our colleague Pamela Duncan, PT, PhD, FAPTA had influenced his work. By introducing questions and issues that are relevant to physical therapists, she drove questions in basic science. This is only one example of the many 2-way interactions that neurologic physical therapists are having with individuals in other fields. Thus, what we write and publish in JNPT is of interest not only to physical therapists, but also to individuals in allied fields. Special Topic Issues become a valuable resource for physical therapy educators and students in the international physical therapy community. While there are several texts that can be used for neurologic physical therapy instruction, none, in my opinion can be used by itself. Special Topic Issues supplement these texts and in some cases supersede them. We receive requests from all over the world for special topic issues such as the ones we published on Parkinson Disease, Degenerative Diseases Across the Continuum of Care, Complementary Therapies, and Use of Te chnology. This is not surprising as many of the contributors to these issues are physical therapists or scientists who live outside the United States. In fact the Special Issue on Degenerative Diseases was co-edited by Lori Quinn from the USA and Meg Morris of Australia. I am especially fond of Special Topic Issues as they provide the opportunity for members of our profession that may not be associated with the journal to take the lead in organizing and producing the journal. Alternatively, and equally pleasing to me, individuals associated with the journal, may shepherd the issue, as is the case with this special topic issue. Ultimately, it is the privilege and obligation of the individual producing the special issue to synthesize and integrate relevant information on a topic to advance the field of neurologic physical therapy. In this special topic issue Edelle Field-Fote from the USA and Carol Richards from Canada (both on our Editorial Board), continue the tradition of the special topic issues.
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 | 0,037 | 0,130 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,002 |
| Bibliométrie | 0,009 | 0,005 |
| Études des sciences et des technologies | 0,005 | 0,003 |
| Communication savante | 0,018 | 0,014 |
| Science ouverte | 0,005 | 0,013 |
| Intégrité de la recherche | 0,012 | 0,009 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,268 | 0,132 |
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 ».