Job Loss in a Group of Older Canadian Workers: Challenges in the Sustainable Labour Market Reintegration Process
Bibliographic record
Abstract
In Western countries, the loss of jobs among older workers is a highly worrisome situation, since it can be synonymous with long-term employment precariousness and definitive exclusion from the labour market. This precariousness is occurring while the labour force in these countries is aging, and governments are looking to extend people’s working lives. It is therefore particularly relevant to study different labour market reintegration processes and to understand their sustainability from a psychological perspective. The present article is examining these processes using a longitudinal study over an 18-month period with 61 older Canadian workers. Time 1 and Final Time were documented with semi-structured individual interviews. These data allowed us to qualitatively construct three reintegration processes (blocked, downgrading, and sustainable) that describe a large spectrum of workers’ experiences regarding occupational repositioning. Quantitative analyses likewise suggest moderate statistical links between the reintegration process and changes in subjective variables associated with the relationship to work and identity representations. Altogether, the results underline the importance of returning to the labour market in qualified, decent, sustainable work that allows people to have a decent and meaningful personal life. The results also suggest, in keeping with the psychology of sustainability, that interventions should promote occupational and personal enrichment, both at the individual and organizational levels.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.022 | 0.004 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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 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".