The Canadian Environmental Sustainability Indicators: On Population‐Weighted Ground‐Level Ozone
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
Abstract This article extends the trend analysis and builds upon the Canadian Environmental Sustainability Indicators (ground‐level ozone indicator). It presents two additional population‐weighted ground‐level ozone concentration trends from 1990 to 2005. During this period, the estimated increase in population‐weighted concentration levels, based on the lower end of the annual concentration data, was statistically more significant than the estimated increase based on the middle range of the annual concentration data. However, no increase or decrease in population‐weighted concentration levels was detected in the upper end of the data. The results of this hypothesis‐generating study indicate that as far as the national estimate of population‐weighted eight‐hour maximum ground‐level ozone concentration is concerned, the good days are getting worse and the bad days remain the same.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 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 it