Student Repayment Crisis and the Value of Higher Education and the Economy in California’s Kern County
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The cost of post-secondary education (PE) continues to increase, which has contributed to elevating federal loan demand, and as of the fourth quarter of 2020, equaling a debt of $1.56 trillion in the US. The purpose of this research was to compare two post-secondary institutions for specific alignment with the local labor market, examine institutional economic benefits and costs, and impact of loan default. Bakersfield College (BC) and California State University, Bakersfield (CSUB) are both public, Hispanic Serving Institutions, in central California. Despite similarities, loan default rates of each institution differ; six-year mean rates, 24.6% at BC, 7.7% at CSUB. The analysis revealed that although the top degrees at BC and CSUB did not align well with local labor market demands, the individual and institutional economic benefit exceeds the costs. Importantly, both the individual and institutional economic benefits are highly dependent on completing the degree, the time to graduation, and then entering the labor market. The value of this research, specifically a cost-benefit analysis to examine recent trends in local wages, tuition fees, defaults rates, poverty, and alignment with the local labor market, provides insight on the impact of local PE on the individual and the community, providing both educational and economic policy direction.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it