Gender, education, and labour market participation across the life course: A Canada/Germany comparison
Bibliographic record
Abstract
In this paper, we employ a comparative life course approach for Canada and Germany to unravel the relationships among general and vocational educational attainment and different life course activities, with a focus on labour market and income inequality by gender. Life course theory and related concepts of ‘time,’ ‘normative patterns,’ ‘order and disorder,’ and ‘discontinuities’ are used to inform the analyses. Data from the Paths on Life’s Way (Paths) project in British Columbia, Canada and the German Pathways from Late Childhood to Adulthood (LifE) which span 28 and 33 years, respectively, are employed to examine life trajectories from leaving school to around age 45. Sequence analysis and cluster analyses portray both within and between country differences – and in particular gender differences – in educational attainment, employment, and other activities across the life course which has an impact on ultimate labour market participation and income levels. ‘Normative’ life courses that follow a traditional order correspond with higher levels of full-time work and higher incomes; in Germany more so than Canada, these clusters are male dominated. Clusters characterised by ‘disordered’ and ‘discontinuous’ life courses in both countries are female dominated and associated with lower income levels.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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 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".