Bibliographic record
Abstract
Transformative Dialogue is a journal that focuses on constructs, ideas, artifacts, reflections, and celebrations regarding the scholarship of teaching and learning.We will include scholarly teaching and teaching scholarship, and the scholarship of teaching and learning, and articulate our understandings of these concepts.This inaugural issue of our journal is about the beginnings of these understandings at Kwantlen University College and our scholarly connections.As primary editors of Transformative Dialogues: Teaching & Learning Journal, we will start this journey with our own understandings and ask our community to help evolve further understandings.We will first situate the scholarship of teaching and learning as we and others currently see it.Boyer's (1990) and Riley, Beal, Levy and McCausland's (2002) understandings of types of scholarships include: discovery, integration, application, and teaching.We further expand scholarship to include the areas of
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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 | 0.012 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.044 |
| Scholarly communication | 0.017 | 0.012 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".