Implementing Canada's Feminist International Development Policy to Reduce Unsafe Abortions in Sub-Saharan Africa
Notice bibliographique
Résumé
Eliminating poverty remains one of the greatest challenges of the 21 st century, because it contributes to political instability, violence and conflict. For instance, pove1ty is most concentrated in Sub-Saharan Africa where support structures are fragile. Reducing poverty under a gender equality lens is the core goal of the United Nations' (UN) Transforming our world: the 2030 Agenda for Sustainable Development ("the 2030 Agenda"), adopted by Canada and all 192 other members of the UN General Assembly. Canada has accepted the UN's agenda to promote gender equality and the empowerment of women and girls as a lever for poverty reduction and economic development. Research has proven that empowered women lead to empowered communities, and are the best engines of development. To realize their full potential, women must be able to manage their sexual reproductive health (SRH). Consequently, improved maternal health and SRH, and the reduction of maternal mortality are key components of achieving gender equality and, ultimately reducing poverty. The government of Canada is taking steps to re-establish Canada's leadership in this sphere through a refocused assistance framework titled the Feminist International Assistance Policy, which was guided by the 2030 Agenda. This Capstone reviews the policy landscape and the research on effective interventions that could be employed by the government of Canada to better serve the SRH of women and girls in Sub-Saharan Africa. The aim is to provide Global Affairs Canada decision-makers, policymakers, and advocates with evidence-based recommendations to reduce the incidence of maternal mortality caused by unsafe abo1tions in Sub-Saharan Africa as a way to achieve gender equality and reduce poverty. Given the political and legal barriers to abortion in Sub-Saharan Africa, the policy recommendation is for Canada to reduce maternal m01tality by increasing its' investing in fami ly planning. This will target greater contraceptive accessibility and increased sexual education for Sub-Saharan African women, girls, men and boys. This policy option is best as it gives Canada value from its aid investment by addressing one of the root causes of unsafe abortion through the reduction of unintended pregnancies by more than 2.7 million. It is recommended that Global Affairs Canada utilize the Global Financing Facility (GFF), a multi-donor financing platform, as the policy recommendation's implementation tool. The GFF is an innovative platform that brings together the broad set of stakeholders that will be required to accelerate efforts to end preventable maternal deaths, and improve the quality of life of Sub-Saharan African women. By adopting the policy and implementation recommendation, the government of Canada will position itself as a global leader in advancing gender equality within the context of the 2030 Agenda.
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 | 0,006 | 0,010 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,011 | 0,004 |
| Communication savante | 0,008 | 0,002 |
| Science ouverte | 0,003 | 0,004 |
| Intégrité de la recherche | 0,006 | 0,006 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,009 | 0,001 |
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 ».