Exploring the benefits of mentoring activities for the mentor
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
Purpose – Mentoring is more and more studied by researchers on account of its professional and personal impact on mentees. This contribution has two main objectives. First, to empirically validate the benefits for the mentor and to test links between mentoring activities and benefits through a multidimensional analysis. Second, to incorporate two variables structuring the relationship into the analysis: the formal vs informal nature of the mentoring relationship and the gender composition of the dyad. The paper aims to discuss these issues. Design/methodology/approach – In total, 161 French managers have been surveyed. Findings – The results show that mentors value the personal dimension of the relationship more than the professional dimension. Moreover, informal mentoring favours the perception of a rewarding experience by the mentor, whereas formal mentoring is synonymous with improved professional performance. This research calls into question the advantage of same-sex dyads, suggesting that heterogeneity favours improved performance. Originality/value – The originality of the paper was to focus on the homogeneity of the mentor-protégé dyad in terms of gender.
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 | 0.001 | 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