Mentors’ perspectives on the successes and challenges of mentoring in the COG Young Investigator mentorship program: A report from the Children's Oncology Group
Bibliographic record
Abstract
BACKGROUND: Identification and development of young investigators (YI) is critical to the long-term success of research organizations. In 2004, the Children's Oncology Group (COG) created a mentorship program to foster the career development of YIs (faculty <10 years from initial appointment). This study sought to assess mentors' long-term assessment of this program. PROCEDURE: In 2018, 101 past or current mentors in the COG YI mentorship program completed an online survey. Statistical comparisons were made with the Kruskal-Walis test. RESULTS: The response rate was 74.2%. As some mentors had multiple mentees, we report on 138 total mentee-mentor pairs. Mentors were 57.4% male, and mentees were 39.1% male. Mentors rated being mentored as a YI as important with a median rating of 90 on a scale of 1-100, interquartile range (IQR) 80-100. Most mentors reported that being mentored themselves helped their own success within COG (78.2%) and with their overall career development (92.1%). Most mentors enjoyed serving in the program (72.3%) and the median success rating (on a scale of 1-100) across the mentor-mentee pairings was 75, IQR 39-90. Success ratings did not differ by mentor/mentee gender, but improved with increased frequency of mentor-mentee interactions (P < .001). Mentor-mentee pairs who set initial goals reported higher success ratings than those who did not (P < .001). Tangible successes included current mentee COG committee involvement (45.7%), ongoing mentor-mentee collaboration (53.6%), and co-authored manuscript publication (38.4%). CONCLUSION: These data indicate that mentorship is important for successful professional development. Long-term mentoring success improves when mentors and mentees set goals upfront and meet frequently.
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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 | 0.002 | 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 | 0.001 | 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".