Correction: The Good Food for Learning Universal Curriculum-Integrated Healthy School Lunch Intervention: Protocol for a Two-Year Matched Control Pre-Post and Case Study
Notice bibliographique
Résumé
In "The Good Food for Learning Universal Curriculum-Integrated Healthy School Lunch Intervention: Protocol for a Two-Year Matched Control Pre-Post and Case Study" (JMIR Res Protoc 2021;10(9):e30899), one error was noted. In the originally published paper, one author, Sylvana Tu, was not included in the list of authors. Sylvana Tu has now been included in the authorship list between authors Sinikka Elliott and Brent Hills. Sylvana Tu's author affiliation has also been added as follows: Saskatchewan Population Health Evaluation and Research Unit, University of Saskatchewan, Saskatoon, SK, Canada This affiliation has been added as affiliation 9 in the corrected paper, and the remaining affiliations have been renumbered accordingly. The full list of authorship and affiliations was as follows in the originally published paper: Rachel Engler-Stringer1, PhD; Jennifer Black2, PhD; Nazeem Muhajarine1, PhD; Wanda Martin3, PhD; Jason Gilliland4, PhD; Janet McVittie5, PhD; Sara Kirk6, PhD; Hannah Wittman2, PhD; Amin Mousavi7, PhD; Sinikka Elliott8, PhD; Brent Hills9, MEd; Gordon Androsoff10, MSc; Debbie Field11, MA; Brit Macdonald12, BA; Chelsea Belt13, MSc; Hassan Vatanparast14, PhD 1Department of Community Health and Epidemiology, College of Medicine, University of Saskatchewan, Saskatoon, SK, Canada 2Faculty of Land and Food Systems, University of British Columbia, Vancouver, BC, Canada 3College of Nursing, University of Saskatchewan, Saskatoon, SK, Canada 4Western University, London, ON, Canada 5Department of Educational Foundations, College of Education, University of Saskatchewan, Saskatoon, SK, Canada 6School of Health and Human Performance, Dalhousie University, Halifax, NS, Canada 7Department of Educational Psychology and Special Education, College of Education, University of Saskatchewan, Saskatoon, SK, Canada 8Department of Sociology, University of British Columbia, Vancouver, BC, Canada 9Saskatoon Public Schools Division, Saskatoon, SK, Canada 10CHEP Good Food Inc, Saskatoon, SK, Canada 11Coalition for Healthy School Food, Food Secure Canada, Montreal, QC, Canada 12Little Green Thumbs Program, Agriculture in the Classroom, Saskatoon, SK, Canada 13Health Promotion Department, Saskatchewan Health Authority, Saskatoon, SK, Canada 14College of Pharmacy and Nutrition, University of Saskatchewan, Saskatoon, SK, Canada This has been corrected to: Rachel Engler-Stringer1, PhD; Jennifer Black2, PhD; Nazeem Muhajarine1, PhD; Wanda Martin3, PhD; Jason Gilliland4,PhD; Janet McVittie5, PhD; Sara Kirk6, PhD; Hannah Wittman2, PhD; Amin Mousavi7, PhD; Sinikka Elliott8, PhD; Sylvana Tu9, MPH; Brent Hills10, MEd; Gordon Androsoff11, MSc; Debbie Field12, MA; Brit Macdonald13, BA; Chelsea Belt14, MSc; Hassan Vatanparast15, PhD 1Department of Community Health and Epidemiology, College of Medicine, University of Saskatchewan, Saskatoon, SK, Canada 2Faculty of Land and Food Systems, University of British Columbia, Vancouver, BC, Canada 3College of Nursing, University of Saskatchewan, Saskatoon, SK, Canada 4Western University, London, ON, Canada 5Department of Educational Foundations, College of Education, University of Saskatchewan, Saskatoon, SK, Canada 6School of Health and Human Performance, Dalhousie University, Halifax, NS, Canada 7Department of Educational Psychology and Special Education, College of Education, University of Saskatchewan, Saskatoon, SK, Canada 8Department of Sociology, University of British Columbia, Vancouver, BC, Canada 9Saskatchewan Population Health Evaluation and Research Unit, University of Saskatchewan, Saskatoon, SK, Canada 10Saskatoon Public Schools Division, Saskatoon, SK, Canada 11CHEP Good Food Inc, Saskatoon, SK, Canada 12Coalition for Healthy School Food, Food Secure Canada, Montreal, QC, Canada 13Little Green Thumbs Program, Agriculture in the Classroom, Saskatoon, SK, Canada 14Health Promotion Department, Saskatchewan Health Authority, Saskatoon, SK, Canada 15College of Pharmacy and Nutrition, University of Saskatchewan, Saskatoon, SK, Canada.
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 | 0,014 | 0,187 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,002 |
| Bibliométrie | 0,003 | 0,002 |
| Études des sciences et des technologies | 0,004 | 0,002 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,004 | 0,002 |
| Intégrité de la recherche | 0,006 | 0,011 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,094 | 0,027 |
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 ».