Loss of Life and Labor Productivity: The Canadian Opioid Crisis
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
Opioids were declared a public health emergency in British Columbia, Canada, in 2016, and from that year through 2021, 29,894 Canadians lost their lives to opioid overdoses. More than two-thirds of those victims were employed in the five years prior to their deaths, and this study aims to quantify their lost productivity to the Canadian economy. We apply two human capital model variants in our analysis, projecting forward the future economic output of individuals who died from opioids, from their deaths to what would have been their eventual retirements, based on the industries in which they were employed. The total estimated productivity loss to Canada is at least $8.8 billion, with the equivalent “value of statistical life” calculations an order of magnitude higher; these are based on estimates of the amount of money that individuals would pay to avoid death. Our results challenge the notion that the opioid crisis predominantly affects unproductive members of society.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.007 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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