Why is the Scholarship of Teaching and Learning such a hard sell?
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
Advocates have difficulty convincing colleagues Scholarship of Teaching and Learning (SoTL) is a worthwhile use of time and resources. This article highlights problems impeding SoTL. First, scholarship of teaching gets used as a synonym for other activities. Second, Boyer’s definition was conceptually confused. Third, SoTL is difficult to operationalize. Fourth, much discourse concerning SoTL is anti‐intellectual and located in a narrow neoliberalism. Fifth, there is uncritical over‐reliance on peer review as the mechanism for measuring scholarship. Each impediment makes SoTL a hard sell – particularly in research‐intensive universities. Taken together, they constitute a formidable problem for SoTL advocates and contain incendiary implications for promotion candidates and committees.
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 | 0.023 | 0.003 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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 it