The Sociology Teaching Fellowship: A Mentorship Model for Graduate Student Teacher Training
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
Scholars have long emphasized the importance of teacher training in higher education, including in sociology. Such calls have led to modest improvements in opportunities for graduate students to develop teaching-related skills and experience. However, many of these opportunities are not specific to sociology and may lack a teaching component. In this paper, we outline a teaching fellowship model for graduate student teacher training that integrates group training sessions, peer collaboration, and a teaching practicum component under the guidance of a faculty mentor. In the fellowship, graduate student teaching fellows receive a stipend for sharing the development and teaching of an undergraduate course, with supports and feedback throughout. We include data from post-fellowship questionnaires and follow-up data from fellows who went on to teach their own courses to highlight the strengths of the program. The data indicate that the fellowship is an overwhelmingly positive experience for graduate students.
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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 | 0.067 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.018 | 0.014 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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