Subjective Financial Well-Being During Emerging Adulthood: The Role of Student Debt
Bibliographic record
Abstract
In this study, we examined (1) the effect of changes in outstanding student debt on trajectories of subjective financial well-being (SFWB) over time and (2) how these trajectories vary according to family socioeconomic and emerging adult financial factors. We used three waves of longitudinal data from the Arizona Pathways to Life Success for University Students (APLUS) study and used growth curve models to analyze the data. Net of family socioeconomic and emerging adult financial factors, student debt was significantly and negatively associated with SFWB across the emerging adult period. Trajectories of SFWB varied slightly in relation to changes in student debt. Between-person differences in debt mattered more for trajectories of SFWB relative to within-person changes in debt over time. Family socioeconomic factors had a strong influence on SFWB trajectories. Findings illustrate how student debt may suppress postsecondary education’s impact as an inequality reducing mechanism. They also suggest the need for both individual- and policy-level intervention.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".