Impact of a Cohort Model on the American Veteran Transition to College
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
Veteran student populations are on the rise across the U.S. due to benefits from the revised Post 9/11 Government Issue (G.I.) Bill that guarantees financial assistance for housing and education for exiting service members. Institutions seeking integration practices for this student population may fail to acknowledge the multiple identities that veterans bring to the campus community and, thus, do not provide proper social support for this unique student population. The purpose of this case study was to examine how one veteran student cohort program provides support for veterans transitioning to their new student identity, and with retention and degree completion at one large California State University. This instrumental case study was conducted utilizing one-on-one in-depth interviews and archived document review to examine how effective the Veteran Education Program assists veteran students at Fresno State. The findings of this research show how students that partake in a veteran cohort program transition better into the broader campus community. As veterans begin transition into a new college student identity, pre-existing identities compete in the reprioritizing process.
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 | 0.001 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it