Generational Dimensions of Neoliberal and Post‐Fordist Restructuring: The Changing Characteristics of Young Adults and Growing Income Inequality in Montreal and Vancouver
Bibliographic record
Abstract
Abstract There is growing concern over income inequality and its generational dimensions. Post‐Fordist and neoliberal restructuring have reshaped urban labour markets, resulting in growing inequalities that disproportionately afflict younger workers. This article empirically analyses the transition as experienced in Montreal and Vancouver, two Canadian cities that have undergone restructuring in different ways. The study of young adults' changing incomes reveals growing intra‐ and inter‐cohort inequality, and an increasing intergenerational income gap in both cities. Income inequality is greater in Vancouver, with its more pronounced post‐Fordist labour force composition and neoliberalized governance context. Known factors such as occupation and gender affect the earnings structure, but educational attainment has increased the most in terms of its effect on incomes. Inequalities among young adults are expected to magnify in the future due to unevenness in educational attainment. Urban research ought to pay close attention to the role of education in structuring inequalities, and the ways the impact of restructuring is unevenly distributed across generations.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".