Academic Advisors of Military and Student Veterans: An Ethnographic Study
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
With the introduction of the Post-9/11 GI Bill, there is an influx of active-duty military and student veterans enrolling in postsecondary and graduate-level education. The role of an academic advisor increases significantly with this influx of enrollment. The purpose of this study was to determine how a graduate-level academic advisor perceives his or her role in advising military and student veterans. By using an adapted methodology of organizational microethnography, commonalities of graduate-level academic advisors to military and student veterans are defined and analytically described. Ethnographic data collection included individual interviews and focus group sessions. Academic advisors of military and student veterans serve as mentors, counselors, coaches, and educators—possessing commonalities of empathy, accessibility, availability, and approachability. In addition, academic advisors of military and student veterans contend with a variety of mental health issues experienced by their students.
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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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