Absent With Leave: The Implications of Demographic Change for Worker Absenteeism
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
Over the past 30 years, sick days have risen in Canada’s workforce, overall, raising important questions about why days lost owing to reported illness are climbing, and how demographic and institutional change may have affected reported rates and may do so in the future. The data show striking differences in absentee-rate trends based on age, sex, and union status. Days lost owing to illness vary across age groups: as the demographic weight of Canada’s population shifts from younger to older categories, reported days lost rise. Absence rates for female versus male workers of all ages and types have diverged over the course of the last few decades, with females taking more days off and men’s rate showing little change. Public-sector employees report more workplace absences than do private-sector employees. Workers in unionized settings take more sick leave days than those in non-union settings. Workplaces and government practices and policies must adjust to these realities, through a combination of accommodation, flexibility and planning.
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 | 0.001 | 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) | 0.001 | 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