Social protection and the employment contract: The impact on work absence
Bibliographic record
Abstract
OBJECTIVE: This study investigates the impact of temporary employment on all-cause sickness absence of one week or more with a focus on how this relationship is moderated by factors related to social protection (job tenure, union membership and firm size). PARTICIPANTS: A sample of 5,307 individuals who experienced 9,574 distinct job episodes was drawn from a longitudinal Canadian labour market survey (2000-2004). METHODS: Duration analysis was undertaken to model the time from the start of a job to the first sickness absence. Specifically, a proportional hazard model was estimated using a complementary log-log function for continuous time processes. RESULTS: Findings showed that temporary employment was associated with a lower rate of sickness absence after controlling for tenure, prior health status, and several other individual and job characteristics. CONCLUSIONS: The results suggest that the lack of social protection in temporary jobs is a powerful determinant of absence taking, even in the case of serious health conditions that require an absence of one week or more.
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.
How this classification was reachedexpand
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 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".