Strengths in mentoring : creating a pilot mentorship program for women in sport and recreation, health and wellness, and media literacy
Bibliographic record
Abstract
The Leadership Advancement for Women and Sport (LAWS) pilot mentorship program is intended to increase a sample of undergraduate female Human Kinetics students' exposure to careers or avocations in the fields of sport and recreation, health and wellness, or media literacy. I explored three sub problems: how to effectively create a unique pilot mentorship program to provide occupational exposure and insights for women; what were the mentors' and mentees' perceptions of the pilot mentorship program and what is the recommended design of a mentorship program for LAWS. This study was completed using participant observation, focus groups, and document analysis. Findings suggest that in order for the mentors to view the program as successful they must feel they are helping their mentee and personally experiencing professional development. In order for the mentees to view the program as successful they must feel they gained career information and experienced benefits through networking sessions.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".