Intersecting contexts of oppression within complex public systems
Notice bibliographique
Résumé
This chapter is a theoretical discussion developed by two PhD-prepared nursing professors. Our thinking is embedded in more than 55 years of mental health nursing practice and academic experience. Many of these years were spent working with children, youth, adults, families and communities in crisis – those who bump into the most pointy edges of life and society. We have walked along with street youth, domestic violence survivors, refugees, young offenders, women preparing for criminal proceedings and people who misuse substances. We have worked and volunteered in community-based non-profit organisations, hospitals, emergency services, community mental health clinics, provincial and federal governments, and the World Health Organization. We have worked primarily in Canada, but have also been touched by the most vulnerable in communities in Mexico, Cuba and India. We have extensive backgrounds in the application of social sciences to health issues. Our theoretical standpoint is that of critical feminist theory based in realist ontology/epistemology and complexity science, and we use an intersectionality lens to draw this thread through our discussion. Our strong practice and academic backgrounds ground our thinking in interrogating oppressions and their intersections and public system complexity as they relate to criminal justice. In our academic and practice work, we focus on the social determinants of health (SDH). The primary factors that shape the well-being of individuals, families, communities and nations are not medical treatments or lifestyle choices, but rather the living conditions they experience (Mikkonen and Raphael, 2010). These factors are known as the SDH: employment and working conditions; income and its equitable distribution; education and early childhood development; housing and food security; age; gender; and race. The SDH are also related to the extent to which citizens are ‘provided with the physical, social, and personal resources to identify and achieve personal aspirations, satisfy needs, and cope with the environment’ (Raphael, 2009, p 56). According to the World Health Organization (2008, p 1), the SDH are important markers of inequalities in health and well-being: The poor health of the poor … is caused by the unequal distribution of power, income, goods, and services, globally and nationally, the consequent unfairness in the immediate, visible circumstances of peoples’ lives – their access to health care, schools, and education, their conditions of work and leisure, their homes, communities, towns, or cities – and their chances of leading a flourishing life.
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 | 0,010 | 0,008 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,004 | 0,003 |
| Études des sciences et des technologies | 0,021 | 0,111 |
| Communication savante | 0,027 | 0,023 |
| Science ouverte | 0,003 | 0,025 |
| Intégrité de la recherche | 0,004 | 0,006 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 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 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 ».