Shared responsibilities of teachers and mentors in a curriculum-based telementoring project in the humanities
Bibliographic record
Abstract
This thesis explores issues and questions relating to the teacher's enabling role in a technology-based innovation called telementoring. Data originated from a SSHRCfunded research project entitled Tracking Canada's Past (TCP). In 2001 - 2002, a pilot project was conducted in two British Columbia schools to investigate the application of telementoring to high school Social Studies curriculum. The initiative, facilitated through the use of web-based groupware, brought grade 10 students, teachers and adult volunteers together in a geographically distributed learning community that pursued a variety of research projects related to the Canadian Pacific Railway. This study uses a combination of questionnaires, interviews, and automatically generated records of students' and mentors' online activity to investigate how teachers may contribute to the development of successful on-line mentoring relationships. Two case narratives illuminate the kinds of facilitation that teachers can do to foster productive telementoring relationships and a sustainable mentor pool.
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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 | 0.027 | 0.037 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.020 | 0.009 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".