Investigating Teacher Candidates’ Mentoring of Students at Risk of Academic Failure: A Canadian Experiential Field Model
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
In this study, the authors explore a Canadian field experience model in a bachelor of education program that focuses on mentor‐based relationships between teacher candidates and students at risk of dropping out of high school. They examine teacher candidates’ and at‐risk students’ attitudinal approaches. The model emphasizes praxis and social justice, and the authors argue that it would benefit from a greater emphasis on critical literacy theory. Data were collected through triangulation of Ministry of Education documents, a literature review, program coordinators’ informal reflections and field notes, and interviews. Interview participants were two teacher candidates, three at‐risk students, and three Student Success teachers. The mentoring improved human relations and attendance more than grades for the at‐risk students. The results indicate that at‐risk students feel individually empowered through the mentor‐based model and teacher candidates demonstrate insights into their mentoring relationships.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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