Mentorship in the Professional Practicum: Partners’ Perspectives
Bibliographic record
Abstract
Abstract The goal of this project was to examine the perspectives of teacher-education mentors and their protA©gA©s, regarding the effectiveness of the mentoring program within their extended-practicum placements. The authors examined these views in the light of findings reported in previous related research. They also drew implications from that analysis with a goal of enhancing the mentorship process not only for pre-service teachers, but also for practicum participants in other professional disciplines. The resulting data substantiated findings reported in previous literature with respect both to the positive and negative aspects of mentorship practice. A troubling element that appears across sectors was the persistent challenge of how to reduce/eliminate the negative elements that seem to re-emerge within the mentorship process in all disciplines. A key implication of this study is that mentorship planners and practicum educators from all professional fields should make concerted efforts not only to share promising ways to minimize these weaknesses, but to take deliberate measures to ensure that the processes/procedures deemed effective are maintained as well.
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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 | 0.021 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.015 |
| Scholarly communication | 0.014 | 0.006 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".