The Experience of the Mentoring Process and the Sense of Self-Efficacy, Difficulty, and Satisfaction of Mentors Working With Immigrant Youths in the Shadow of the Coronavirus
Bibliographic record
Abstract
Because of the spread of the COVID-19 pandemic, changes in the mentoring process of immigrant youths were needed to maintain contact and educational continuity and prevent learning loss. The research question was: How do mentors working with immigrant youths in a time of crisis, in the shadow of the COVID-19 pandemic, describe their experiences with the mentoring process, feelings of empowerment, difficulty, and satisfaction? And how do they perceive the mentor's role and support for the youths in various areas? This was a quantitative study involving 119 mentors. The study was conducted in Israel in 2021. The results show that mentors who reported high self-efficacy felt that they helped the youths to a great extent, both personally and professionally, and that they managed difficulties when they arose. For mentors who expressed low self-efficacy had trouble, the means of all parameters checked were significantly lower. The mentors’ sense of self-efficacy influenced the type of support they offered their students.
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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 | 0.007 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 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".