Scholarly Approaches to Peer-Review of Teaching
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
This article examines scholarly approaches to peer-review of teaching within and across disciplinary contexts in a Canadian research-intensive university.Qualitative methods were employed to investigate the processes and outcomes of innovative peerreview of teaching initiatives over a 10-year period at the University of British Columbia.Analysis suggests that as part of a larger context of higher education and programmatic (undergraduate and graduate) reforms, scholarly approaches to peer-review of teaching in research-intensive universities is key for successfully integrating formative and summative approaches to teaching; for providing reliable and valid evidence for administrative decision-making about the effectiveness of teaching practices for tenure, promotion and/or teaching award adjudications; and, is not only consistent with the research excellence and methodological rigor espoused by these institutions, it is responsive to their diverse needs and circumstances in multi-disciplinary contexts.The following insights are grounded in the Scholarship of Teaching and Learning literature and over 10 years of peer-review of teaching experiences within and across disciplinary contexts at the University of BC.
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 | 0.052 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.004 |
| 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