Assessing Mentoring Culture: Faculty and Staff Perceptions, Gaps, and Strengths
Bibliographic record
Abstract
The purpose of this non-experimental, cross-sectional, descriptive research was to survey faculty and staff perceptions of mentorship in a postsecondary institution in order to determine gaps and strengths in the current mentorship environment. The anecdotal activities we present reflect our educational practice environment through the work of our Mentorship Team. Data were collected utilizing Zachary’s Mentor Culture Audit tool. The culture building block measured 4.65 on a 7-point Likert scale, suggesting the presence of a weak mentorship culture. However, the infrastructure building block measured only 3.41, showing that organizational resources and supports are below average. We also present eight hallmark category results to further identify strengths and gaps. This is the first assessment of our mentoring culture at an organizational level. Other postsecondary institutions may benefit from formally assessing the gaps in and strengths of their mentorship culture to assist them with acquiring adequate resources to further develop and sustain their mentoring activities.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.033 | 0.056 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".