The Promise of Adaptive Mentorship©: What is the Evidence?
Bibliographic record
Abstract
This article describes Adaptive Mentorship © (AM), a mentoring model designed by the authors to be applied in any coaching, supervisory, mentorship, preceptorship, apprenticeship, or training setting across the post-secondary, professional-education, or occupational-training spectrum. The authors derived the AM model from earlier contingency leadership approaches, and in this present article they synthesize the research results that they and others have accumulated regarding the effectiveness of the model. During the past two decades, they have used these research findings to apply, refine, and disseminate the model in higher education settings. The authors describe AM’s rationale and implementation procedures; they consolidate the body of research findings; and they summarize the model’s strengths and limitations. They conclude this report by inviting interested mentorship practitioners/researchers in any field of professional development to consider this evidence in determining whether AM has potential to enhance their own mentoring programs.
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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 | 0.001 | 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) | 0.002 | 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".