Bibliographic record
Abstract
Black Canadians are more likely to suffer health disparities compared to the majority of the population. This is an issue in regards to equity, where some people are not given the right tools needed for physical and/or mental wellness and prosperity. Black-White disparities are partially caused by socio-economic status (SES), sociocultural factors and the social determinants of health. According to public health studies, racism and perceiveddiscrimination, income, poverty and other factors affect adherence to physician referrals or advice and overall health among Black populations. Additionally, Afro-Caribbean cultures suffer from various health issues, such as obesity and hypertension, at a higher incidence than their White counterparts. Research shows that Community Health Clinics (CHCs) like TAIBU CHC in Scarborough, Ontario are likely to be effective in addressing disparities, as they provide care to those who need it most. To coordinate effective care to a specific community, they are using linguistic, sociocultural, evidential and other strategies. With these programs, however, it is important to still view the individual as having specific needs and issues and not just as a reflection of their culture when implementing cultural competence.Les Canadiens noirs font face à des disparités en matière de santé par rapport au reste de la population. Ceci est une question d’équité, car certaines personnes n’ont pas les outils nécessaires pour leur bien-être physique et/ou mental. Ces disparités sont partiellement causées par leur statut socioéconomique (SSE), les facteurs socioculturels et les déterminants sociaux de santé. Selon des études de santé publique, des facteurs tels que le racisme, la discrimination, le revenu et la pauvreté affectent l’adhésion des patients à des conseils médicaux ainsi que la santé globale de la population noire. En outre, la population afro-caribéenne souffre de problèmes de santé comme l’obésité et l’hypertension à une incidence plus élevée que leurs homologues blancs. La recherche montre que les cliniques de santé communautaire (CSC) comme TAIBU CHC à Scarborough, Ontario peuvent être efficaces en adressant les disparités, car elles fournissent des soins à ceux qui ont le plus besoin. Pour coordonner des soins efficaces pour une communauté spécifique, elles utilisent des stratégies linguistiques, socioculturelles, évidentielles, entre autres. Avec ces programmes, cependant, il reste important de répondre aux besoins individuels de la population tout en tenant compte de la culture lors d’une mise en oeuvre de compétences culturelles.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.013 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.035 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".