“You Always Remain Slightly an Outsider”: Workplace Experiences of Academics from Working‐Class or Impoverished Backgrounds
Bibliographic record
Abstract
Debates surrounding class inequality and social mobility often highlight the role of higher education in reducing income inequality and promoting equity through upward social mobility. We explore the lived experience of social mobility through an analysis of 11 semistructured interviews with Canadian academics who self-identified as having working-class or impoverished family origins. While economic capital increased substantially, cultural capital and habitus left many feeling like cultural outsiders. Isolation-both chosen and imposed-reduced professional networks, diminishing social capital. Caught between social worlds, participants mobilized symbolic capital in moral boundary marking, aligning themselves strategically with either their current class status or their working-class roots. While upward social mobility is a path toward reducing economic inequality, the lived experience of social mobility suggests it may exact a high emotional cost.
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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 | 0.007 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.037 | 0.027 |
| Scholarly communication | 0.012 | 0.004 |
| Open science | 0.004 | 0.014 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 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".