Bibliographic record
Abstract
The Scholarship of Teaching and Learning (SoTL) has been variously defined over its history. We suggest that evolving identity definitions are part of SoTL’s developmental process. Ascribing to Huber and Hutchings’ (2005) ‘big tent’ philosophy, we note that useful definitions of SoTL should take into account the local context and focus on the outcome of improving learning and educational quality. L’avancement des connaissances en enseignement et en apprentissage (ACEA) a été défini de diverses manières au fil de son histoire. Nous suggérons que les définitions correspondant à cette identité qui évolue font partie du processus de développement de l’ACEA. En acceptant la philosophie de la « grande tente » de Huber et Hutchings (2005), nous remarquons que les définitions utiles de l’ACEA devraient tenir compte du contexte local et se concentrer sur le résultat qui consiste à améliorer l’apprentissage et la qualité de l’éducation.
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How this classification was reachedexpand
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 | 0.144 | 0.142 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.087 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.021 |
| 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".