Notice bibliographique
Résumé
Fromer, Liza, and F. Gerstein. My Healthy Body. Toronto: Tundra Books, 2012. Print. Liza Fromer is a broadcast journalist with a degree in Radio and Television Arts from Ryerson University. In addition to working with The Discovery Channel and being a weekend anchor and reporter at A-Channel in Calgary, Liza has co-hosted CityTV’s Breakfast Television, hosted The Weather Network’s “Good Morning Toronto” and SLICE network’s series, “The List”. Currently, Ms Fromer lives in Toronto, as does her co-author sister-in-law, Dr. Francine Gerstein, a family physician and cosmetic medicine practitioner. Together they have co-written My Healthy Body and five other books that make up the Body Works Series. My Healthy Body opens with an author’s note about seeking medical advice for health concerns, then covers the following topics: sleep, exercise, nutrition, vaccination, eye and dental care, and the importance of family and friends, learning, and personal hygiene. Fun facts and true/false questions signal the end of each topic. Colourful illustrations depict children engaged in a variety of daily activities related to the health topics being discussed. The book focuses on the role that individuals play in being healthy. While it does not specifically situate health behaviours in a broader context of health promotion (i.e., that being healthy is affected by many factors, one of which is individual behaviour) the sections on family and friends and learning, although presented from a personal choice perspective, are a nod to some of these broader determinants. Overall, My Healthy Body is engaging and informative without being text heavy. However, it does have a few limitations. Firstly, I was surprised that, despite the book being written and published in Canada, the nutrition section does not refer to Canada’s Food Guide, highlighting the USDA’s guide instead. Similarly, the section on exercise eschews the more inclusive term, physical activity, used in the Canadian Physical Activity Guidelines. Secondly, while the publisher’s website lists the book as suitable for children ages six to nine years old, this book includes vocabulary that may be more suited to the upper end of this range and readers may need assistance to understand some of the terms. Some terms are introduced in plain language, followed by the medical term in parentheses. This treatment of health-related terminology is inconsistent – some words, such as “tissues”, “self-esteem”, “obesity” are not defined in the text, nor are they addressed in the brief glossary at the end of the book; unexpectedly, the glossary does introduce some terms that do not appear in the text (e.g., antigen). Finally, the book ends abruptly, with no conclusion, suggestions for further reading, or mention of the glossary. Recommended: 3 out of 4 stars Reviewer: Maria TanMaria is a Public Services Librarian at the University of Alberta’s H. T. Coutts Education Library. She enjoys travelling and visiting unique and far-flung libraries. An avid foodie, Maria’s motto is, “There’s really no good reason to stop the flow of snacks”.
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 | 0,002 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,002 |
| Communication savante | 0,004 | 0,005 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,003 | 0,006 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,023 | 0,016 |
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 ».