Fulfilling the University Promise: Enriching the Art of Mentoring with Counseling Methods and Empirical Evidence.
Bibliographic record
Abstract
Over a quarter of a century ago the classic study by Astin (1975) reported that freshmen most likely to drop out of college were those with poor high school academic records, low aspirations, poor study habits, relatively uneducated parents, and small town origins. More recently, the national emergence of problems associated with immigration, substance abuse, poverty, and the migration of gang violence from urban to rural communities (Valencia, 2002) are impacting Astin’s college drop out framework. Following the publication of the findings by Astin and endeavoring to learn from their own attrition experiences, many colleges and universities incorporated innovative approaches to better meet the diverse and growing needs of their students. One particular campus of the California State University system is a comprehensive metropolitan university located in the center of California’s agricultural heartland. This campus is one of many universities incorporating approaches to better address the needs of their students and serves as the focus of this paper. Throughout the paper the campus will be identified as the University.
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 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 | 0.015 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".