Passion in a Climate of Austerity: Young Men’s Perceptions of Education and Career Success in a Polarized Economy
Bibliographic record
Abstract
This article explores young men’s educational experiences and career trajectories in the context of restrained public expenditure, neoliberal educational policies, tightening job opportunities, and growing concern of the gender achievement gap. Based on focus group research among young postsecondary-educated students in Ontario, Canada, this article reveals how young men, in particular, emphasize the importance of passion and purpose in creating successful selves and in navigating higher education. The author examines research findings through a transdisciplinary lens that juxtaposes psychological research on passion, management perspectives on success, economic studies on gender and the labor market, and critical perspectives of gendered subjectivities within the context of a declining manufacturing sector and a rising service-led knowledge economy to explore and analyze how young men construct their learner subjectivities. As such, these narratives should be read as the product of risk-taking, heroic, and self-confident self-entrepreneurship that necessarily involves self-regulation, introspection, diligence, and responsibility.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 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".