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Enregistrement W2191089653

Chronic Diseases in Canada and Preventing Chronic Disease copublishing on health in Aboriginal populations.

2011· article· en· W2191089653 sur OpenAlexaffabout
Howard Morrison, Samuel F. Posner

Notice bibliographique

RevuePubMed · 2011
Typearticle
Langueen
DomaineHealth Professions
ThématiqueHealth Sciences Research and Education
Établissements canadiensPublic Health Agency of Canada
Organismes subventionnairesnon disponible
Mots-clésPublishingAudience measurementMedicinePublic healthAppealPremiseChronic diseasePublic relationsFamily medicinePolitical scienceNursingLaw
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

The January 2011 issue includes 6 papers that are copublished by Chronic Diseases in Canada (CDIC) and Preventing Chronic Disease (PCD). In this example of copublishing, each journal is the primary publisher of 3 of the papers and secondary publisher of the other 3. Copublication is uncommon among scientific journals; however, it does offer an opportunity for journals to reach a broader readership with information about areas of common interest. The International Committee of Medical Journal Editors identifies this model of publishing as appropriate when 2 journals with different readerships are publishing information about topics that may appeal to both. The idea of copublishing a collection of articles was born of discussions between the 2 journals about how to improve quality, reach, and impact. Both journals have similar missions of publishing research and best practices in public health in the United States and Canada. The premise of copublishing is based on the understanding that public health research and practice are global, crossing the physical barriers of national borders. Public health professionals in Canada and the United States face many of the same challenges in developing and implementing programs to prevent and manage chronic diseases. Copublishing of scientific papers helps demonstrate how public health is a global issue and allows both journals to reach a broader audience interested in chronic disease prevention and control. In March 2010, the opportunity to copublish became a reality when we identified a set of papers on chronic disease prevention and control among Canadian Aboriginal people. Copublishing requires more coordination than when either journal publishes independently. Editing styles, publication schedules, and multilingual translations are just a few of the elements that need to be coordinated. We appreciate the efforts of the staff of both journals in collaborating effectively. This collection is translated into 3 common languages spoken in the United States and Canada — French, Spanish, and English — reflecting our effort to make the collection available to a broad range of researchers. The authors are key partners in the copublishing effort; without their agreement, this initiative would not have been possible. The collection includes 4 original research papers as well as an editorial by Malcolm King, PhD, scientific director of the Canadian Institutes of Health Research's Institute of Aboriginal Peoples' Health and a member of the Mississaugas of the New Credit First Nation (Ontario). Dr King's career spans 30 years; he is responsible for advancing Aboriginal public health research in Canada and has a clear understanding of the role of social determinants of health in achieving overall health. It is an honor to have him pen the editorial that preceded this collection. This special issue is also preceded by our introduction, as editors in chief of the 2 journals. Two of the 4 original research papers (Bruce et al and Riediger et al) are companion studies that involve a Manitoba First Nation community. Bruce et al looked at obesity in this population and the related comorbidities — dyslipidemia, hypertension, and diabetes. The other 2 papers (Ng and Tjepkema) are national studies. Ng and colleagues studied arthritis in the Canadian Aboriginal population, focusing on the differences between Canada's northern territories and the 10 provinces to the south. Tjepkema compared mortality patterns and rates among the urban-dwelling Canadian Aboriginal population and other urban residents. These papers report data from Canadian Aboriginal people, but others have reported similar findings among US American Indian/Alaska Native people. These and other studies show a substantial burden of risk factors and chronic diseases in these populations. The articles document the need for public health interventions to address chronic disease prevention and management. Ng and colleagues note regional differences in arthritis. This finding is an example of the importance of recognizing that Aboriginal people are not a monolithic population and that different groups will require different interventions. Moving forward, development and evaluation of interventions are needed. As with any other high-risk group, documenting the burden is insufficient. Action to address the issues is where public health will improve the well-being of the populations it serves. This landmark copublishing effort is a first for both PCD and CDIC and an innovation in the world of scholarly publication. With this effort, we are able to reach a broader range of researchers. Our initiative has the power to facilitate information sharing and discussion among researchers in this field. We hope that the readership of both journals will find joint publication useful and that it will be a model for further publishing efforts. In addition to the scientific discussion, we are interested in feedback on copublishing.

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)0,008
score de la tête « metaresearch » (Gemma)0,037
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesBibliométrie
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,991
Score d'incertitude au seuil0,346

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0080,037
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0090,013
Études des sciences et des technologies0,0060,002
Communication savante0,0070,002
Science ouverte0,0020,002
Intégrité de la recherche0,0020,003
Charge utile insuffisante (le modèle a refusé de juger)0,0360,004

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 Opus0,152
Tête enseignante GPT0,431
Écart entre enseignants0,279 · 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.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2011
Routes d'admission2
Résumé présentoui

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