Notice bibliographique
Résumé
Happy New Year to all and I hope you are looking forward to another exciting year for the International Journal of Mental Health Nursing as I am. I am very excited to introduce the new structure and of course the new members of the Editorial Board for the IJMHN. The call for Expressions of Interest was met with a large number of enquiries and applications. The fact that so many of these were from outside Australia demonstrates the place the journal new holds within the international community of mental health nurses, while still retaining a strong interest within Australia. It was the source of both pleasure and anguish that the number of EOIs received far outnumbered the positions available. The pleasure reflects the popularity of the IJMHN within professional and scholarly communities and the willingness of the journal's readership to become actively involved in the future of the journal. The anguish comes from not being able to convert all of that interest into positions on the Board. To those applicants who were not already reviewers, I have extended an invitation to contribute to the journal in this important capacity and many have already accepted. The ongoing success of the IJMHN depends in no small part on the availability and willingness of reviewers to provide valuable feedback as part of the peer review process. The Board now has three Associate Editors from Asia, the United Kingdom and United States. Their role will be specifically aimed at increasing the penetration of the journal in these areas, securing reviewers, soliciting papers and increasing subscriptions. These positions will be supported by an Editorial Board of an additional 20 members, including nine from Australia and 11 from overseas. The international contingent represents eight countries including England, Ireland, Canada, New Zealand, Hong Kong, Norway, Thailand and Sweden. The new members of the Board, many highly experienced with Editorial Boards of other journals, will be well supported by those who have been in the role for a number of years. Trish Martin and I are very excited about working with this new team. The expertise and enthusiasm of members will be vitally important as submissions continue to grow particularly from outside of Australia. Many new members have already contacted us with ideas. Their enthusiasm and willingness to be an active part of this role is fantastic and I can't wait to work with you all together as a large team with so much talent in mental health nursing, research, publication and commitment to the larger selection. It is a privilege to be the Editor-in-Chief at this important time in the Journal's development. Other exciting developments for the journal include the introduction of Manuscript Central. Some of you may have used this system before to submit articles. It provides the opportunity for you to map the stage for the production process where your article is at any one time. This will be a really important development that in time can completely change the way the work of the journal is conducted. The internet based service can be accessed from all over the world, which means it won't be difficult to stay on top of the work load. This will enable us to even further decrease the time from submission of the manuscript until the first response is received by the authors. The move from four to six issues in 2007 has given me plenty to do in my spare time but has substantially reduced the time delay between acceptance of the article and publication, from about 12–15 months, to about 4–6 months. This ensures that the content of the journal is relevant and up to date. It also keeps authors happy. When their work goes into print in a timely fashion they are much more likely to submit further work. With the input and assistance of the new Editorial Board, 2008 should prove to be another exciting year, full of knowledge, ideas, debate and controversy that are so necessary as part of the mental health nursing agenda. In closing I would like to thank the retiring members of former Editorial Board for their contribution to the journal and wish them all the very best with their future endeavours.
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 | 0,004 | 0,025 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,006 | 0,002 |
| Communication savante | 0,018 | 0,012 |
| Science ouverte | 0,003 | 0,013 |
| Intégrité de la recherche | 0,005 | 0,011 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,540 | 0,547 |
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 ».