Age Discrimination in Employment in Canada
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
Issues pertaining to age discrimination in employment in Canada are analyzed with a view toward highlighting lessons that may be learned from the Canadian experience—an experience that is taking on increased policy importance. Reasons for the increased attention to age discrimination issues are outlined, followed by a portrayal of the age discrimination legislation and court interpretations in Canada, especially as they pertain to mandatory retirement. Enforcement aspects are discussed, as is the evidence on age discrimination in employment and the effectiveness of legislation with respect to age discrimination and mandatory retirement. The article concludes with a discussion of the lessons to be learned from the Canadian experience, especially with respect to the poorly understood but complicated relationship between age discrimination and mandatory retirement. Policy recommendations for strengthening age discrimination legislation are also outlined. (JEL J14 , J24 , J71 )
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 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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