Bibliographic record
Abstract
As the numbers of working-class students at university grow, we need to gain a better understanding of the different ways in which they consolidate their working-class habitus with the middle-class culture of the academic field. Drawing on data from a four-year longitudinal, qualitative study of working-class students at a large, research-intensive Canadian university, I focus on the experiences of those participants who fully embraced, became integrated, and achieved academic success at university. They not only spoke about gaining new knowledge, but also about growing personally, changing their outlooks on life, growing their repertoire of cultural capital, and developing new dispositions and tastes about a range of issues, from food to politics and their future careers. Yet, the interviews also reflect a complex and complicated mix of allegiances to and dismissal of their working-class roots, as many recognize this transformative process as having made relationships with parents or former friends and peers more difficult. The article concludes with a discussion of the implications for working-class students who increasingly distance themselves from the class culture in which they grew up, but who are still likely to find themselves in adult situations in which they are perceived as cultural outsiders.
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 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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.012 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.013 | 0.001 |
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".