Preventing Breast Cancer: An Analysis of Canada's Regulatory Regime for Chemicals
Notice bibliographique
Résumé
Breast cancer is the most commonly diagnosed cancer in women worldwide. The incidence rates are such that one in nine Canadian women will be diagnosed in her lifetime. While social science research has demonstrated the influence of social, political, economic, and environmental factors on health outcomes, many still emphasize the role of traditional risk factors for breast cancer, such as family history or diet. However, these factors are unable to account for the increased incidence of the disease in industrialized countries. This leads to a call for more attention to the environmental links to breast cancer, including the ‘everyday exposures’ to toxic substances that we experience in our daily lives, which often include mammary carcinogens and endocrine disrupting chemicals. The Canadian Environmental Protection Act, 1999 and the federal government’s Chemicals Management Plan are designed to protect the environment and the entire Canadian population from risks associated with exposure to toxic substances. This dissertation research examines the body of Canadian law, policy and practice which encompasses Canada’s regulatory regime for toxic substances. The regime is evaluated from a population health and primary prevention perspective. I asked: are the laws, policies and practices governing the everyday exposures to toxic substances in Canada inherently precautionary? And do they enact a primary prevention approach to women’s health? \n \nThe primary prevention of environmental health outcomes has not been a strong feature of public health policy and legislation in Canada, despite the efforts of environmental breast cancer activists who advocate for a precautionary approach. This research is steeped in politicized debates as it engages with issues central to women’s health, risk and the environment. I examine how the issues are communicated and understood, who the policies are designed to protect, and where the burden of risk is presumed to lie. I consider whether the policies capture the need for prevention and action related to women’s health. This research seeks to identify gaps in the law, policy and practice and in doing so, concludes that women’s health is not adequately protected from detrimental health outcomes as a result of everyday exposures to toxic substances, including breast cancer.
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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| 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) | 0,001 | 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 ».