The Impact of COVID-19 on the Canadian Economy
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
This paper examines various types of effects of COVID-19 on Canadian businesses and industrial sectors. Using the data from Labour Force Surveys, the paper explores the impact of COVID-19 on the Canadian labour market. The paper also investigates the relationship between the intensity of lockdown measures ( stringency index) and the unemployment rate for Canada and selected countries. The main findings are the following: 1)The businesses which faced a high level of decreases in demand are food &accommodation,  arts, entertainment, and recreation and retail trade; 2) Small businesses witnessed a higher level of decrease in demand compared to large businesses;  3) The goods- producing industries, especially motor vehicle and parts producing industries experienced the steepest decline in growth rates; 4)The pandemic adversely affected the jobs of women, workers with high school education,  and young workers; 5) Finally, it appears that there is a weak positive relationship between the Stringency Index and the unemployment rate across selected countries including Canada.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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