Integrated, marginal, and resilient: race, class, and the diverse experiences of white first‐generation college students
Bibliographic record
Abstract
While first‐generation college students are ‘at risk’, the majority do persist. Using in‐depth interviews with 28 white college students I ask: How do white, first‐generation, working‐class students understand their college experiences, especially in terms of their academic, social, and cultural adjustment? Moreover, what kinds of factors seem to help or hinder their adjustment to college life? I discovered three patterns of adjustment among these students: (1) about half expressed few feelings of marginality and appeared well integrated into campus life; (2) one quarter experienced persistent and debilitating marginality; and (3) another quarter overcame their feelings of marginality en route to becoming socially and academically engaged on campus, with some transforming their feelings of marginality into motivation for social change. I argue that these variations can be understood by looking at how working‐class students’ economic resources may function as an asset, while their whiteness may function alternately as an asset and a liability.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| 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".