THE BENEFITS OF MENTORING FOR ENGINEERING STUDENTS
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 authors examined the benefits of mentoring for female and male engineering students and whether the benefits of mentoring differ depending on the sex of the mentor. Kram's framework of career development, psychosocial, and role-modeling functions was used to examine the benefits of mentoring for 1,069 engineering students. It was found that students with mentors were more socially integrated into their academic programs than students without mentors and that male mentors were more effective in this function than female mentors. Few students reported psychosocial benefits from being mentored, although female proteges reported more if they had female mentors. An unexpected finding for the role-modeling benefits was that mentored students reported less commitment to engineering careers than students without mentors. The authors close with a discussion of the implications of these findings and suggestions for future research in this area.
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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 | 0.002 | 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