Can surveillance provide epidemiological data on Aboriginal health?
Bibliographic record
Abstract
The Canadian Paediatric Surveillance Program (CPSP) was established in 1996. This pan-Canadian active surveillance network of more than 2500 practising clinical paediatricians and paediatric subspecialists collects timely epidemiological data on rare paediatric diseases and conditions. In 2004, the Program was favourably evaluated by an external expert advisory group (EAG) (1). One of the recommendations of the EAG was for the CPSP to capture the unique entity of northern Canada by undertaking surveillance studies on diseases affecting the health of the Aboriginal population. Aboriginal (First Nations, Métis and Inuit) children and youth represent 5.8% of the entire Canadian paediatric population. Certain diseases, some with serious and even fatal outcomes, seem to have a higher incidence in the Aboriginal population. However, for many of these diseases, there is a lack of national frequency data. Epidemiological and clinical information are essential to document the burden of illness, guide clinical care and support public health actions.
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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 | 0.061 | 0.199 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.009 | 0.011 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.005 | 0.009 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".