Documenting Complex Air Pollution Mixtures and Baseline Health Conditions in Fort McKay, Alberta
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Environmental pollution from the oil sands industry in northern Alberta, Canada, is an ongoing concern. Fort McKay is an Indigenous community in close proximity to these sources. To improve understanding of the impacts of the air emissions on the environment and the community, detailed air monitoring was initiated by Environment and Climate Change Canada in 2013. Subsequent to this, but independent from it, Fort McKay joined a national Indigenous cohort which is sub-study of the Canadian Alliance for Health Hearts and Minds (CAHHM). In total 104 participants aged 18 to 69 years residing in Fort McKay were recruited, providing individual information via multiple questionnaires (medical history, risk factors, diet, physical activity), and via physical and cognitive measures and blood samples (hemoglobin A1C and Apolipoproteins). Consistent with the CAHHM national protocol, a majority (N=87) of the Fort McKay participants underwent Magnetic Resonance Imaging (brain, heart, carotid and abdomen), consented to follow-up via health record linkage and to blood storage for possible genetic research with further consent. Community-level environmental contextual factors were also assessed. Establishing this strong baseline of health data and community engagement within the broader context of a national study is expected to enable research on a range of health questions geared towards a better understanding of why Indigenous people have higher rates of death from CVD compared to the Canadian population, and how, through community-based approaches, this burden can be reduced. Potential health impacts of long-term air pollutant exposures can also be explored given the national CAHHM platform. The purpose of this presentation will be to provide an overview of this work to date, including community air pollutant exposures, challenges and opportunities.
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.
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 | 0.000 | 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) | 0.002 | 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 it