Assessment of human health risk for lyme disease in a peri-urban park in southern Québec
Bibliographic record
Abstract
Introduction: climate change has contributed to the spread of the hard tick Ixodes scapularis into increasingly northern latitudes, and subsequently has caused the spread of the lyme dis-ease causing bacterium, Borrelia burdorferi, into these northern areas. The spread of these ticks into the region of southern Québec is highly likely within the near future. As a result, new human populations are being exposed to these ticks and are at risk for contracting lyme disease. intent: This exploratory study examines the spatial and behavioral factors associated with human activity in longueuil regional park in relation to risk for lyme disease. Methods: we conducted exit surveys of park-goers to determine spatial and behavioral patterns of park use, as well as lyme disease awareness. results and conclusion: we found higher awareness of ticks in female park-goers, park-goers over 50, and high-frequency park-goers. our results, importantly, imply a discrepancy between peoples' awareness of tick bite precautions, and their perception of tick bite risk. we hope that these findings may help future research on the spread of lyme disease into Canada, as well as in the formulation of public health policy.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".