Notice bibliographique
Résumé
by Barbara Murphy. Winnipeg, Canada, J. Gordon Shillingford Publishing, 2002, 140 pp. Why Women Bury Men is a short, informative, and easy-to-read book that examines the biological, behvioural, and lifestyle risk factors that contribute to the leading causes of mortality in Canadian men, resulting in a six-year longevity gap between men and women. Murphy states that the longevity gap is not considered a pressing public health issue since it is assumed that this gap is beyond anyone's control, a notion she questions. Through her analysis of different risk factors such as smoking, alcohol use, diet, exercise, and reckless driving, she demonstrates that the impact of biological factors on longevity is small in comparison to the behavioural, socioenvironmental, and lifestyle practices. Murphy is a social policy consultant and writer who has published other books on social issues that affect Canadians. Her writing style is clear and medical concepts are written in an easy-to-understand manner. Literature from a variety of disciplines is used to support her analysis, and an extensive bibliography is included. introductory chapter, Life Expectancies, Then and Now, traces the causes of mortality for women and men from the Stone Age until the present. Statistical data on the leading causes of death for males in Canada is included. Although the focus of the book is about the Canadian longevity gap, the author includes information and comparison to other countries that is extremely helpful. next five chapters explore the biological, behavioural, and lifestyle factors that place men at greater risk for earlier death. These factors are examined for their impact on the leading causes of death: heart disease, cancer, lung and liver diseases, and accidents. lifestyle practices of smoking, alcohol use, physical activity, diet, and stress are examined, and rates of these practices are compared to women and occasionally compared to rates in other countries. There is some repetition in these chapters, particularly with the risk factors of smoking, drinking, and diet. Chapter 6, The Risk-Takers, explores the concept of risk, how individuals perceive risk, why individuals take risks and how age and sex roles influence risktaking. This chapter could be helpful for practitioners working with males, but it fails to answer the key question of why men take more risks than women. Murphy indicates that male risk taking needs to be studied, since research findings could be useful in providing information on how to change risk-taking behaviours. …
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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 tête enseignante, 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 ».