Bibliographic record
Abstract
Purpose – The purpose of this paper is to analyse the labour market exclusion of the groups in Canada that have been defined as vulnerable in that they were persistently in poverty over a defined period of time. The vulnerable groups were: unattached individuals age 45-64, disabled persons, recent immigrants, lone parents, Aboriginal persons and youth not in school. Design/methodology/approach – Five panels of data from the Survey of Labour and Income Dynamics are used over the period from 1993 to 2010 to compare the vulnerable groups with a benchmark non-vulnerable in various dimensions: a descriptive profile of their labour market exclusion and characteristics; a portrayal of their trends in labour market exclusion; an analysis of the persistence of being excluded from the labour force; and an econometric analysis of the determinants of their probability of transitioning into the labour force and out of the labour force. Findings – The vulnerable groups tend to be disproportionately excluded from the labour force and to be persistently excluded for longer periods of time. They are generally more likely to be female, lower educated, in poorer health and to find their life to be stressful and to have recently experienced a negative life event. Exclusion from the labour market tends to trend downward over time for both the non-vulnerable benchmark group and the various vulnerable groups. There is considerable variability in the patterns across the different groups with respect to transitions into and out of the labour market. Practical implications – The labour market is a first line of defense against social and economic exclusion. While labour market exclusion is trending downward it remains stubbornly high for the vulnerable groups. Their diversity of experiences suggest a one-size-fits all solution to exclusion is not appropriate for the different vulnerable groups. Different policy initiatives are appropriate and they are discussed for each vulnerable group. Originality/value – The paper is the first to systematically examine a wide range of dimensions of the labour market exclusion of the vulnerable groups in Canada and to highlight their similarities and differences. It also highlights the various policy initiatives that are appropriate for the different groups.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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 source (direct Gemma or distilled Codex), 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".