Atopic Dermatitis and Canadian Indigenous Peoples: Burdens, Barriers, and Potential for Solutions
Bibliographic record
Abstract
Atopic dermatitis (AD) is the most common chronic inflammatory skin disease worldwide. AD begins before age five in 90% of cases and is associated with the development of comorbid conditions such as infections, environmental allergies, food allergies, asthma, anxiety/depression, and abnormalities in sleep, growth, and development. While personal experience suggests that Canadian Indigenous peoples, including children and youth, are facing burdens associated with AD, formal research studies addressing the impact of AD and skin disease in general on Canadian Indigenous peoples are lacking. Canadian Indigenous* account for approximately 5% of the Canadian population. Although Canadian Indigenous vary widely in geography, culture, language, and beliefs, they face common health disparities embedded in complex historical and social contexts related to factors such as colonization, intergenerational trauma from residential schools and institutionalization, racial segregation in the form of reservations, systemic racism, and being subjected to policies such as the ‘Indian Act’. This article reviews the burdens and barriers of AD in Canadian Indigenous by examining the literature, experiences of health care practitioners (HCPs), and media reports followed by proposing potential solutions to address such disparities.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 teacher head, 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".