Designing a culture of co- learning: Mobilizing knowledge about KMb amongst graduate students
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
e goal of this Field Note is to outline our experiences developing and maintaining aKnowledge Translation and Transfer-Knowledge Mobilization (KTT-KMb) LearningCircle for graduate students at the University of Guelph. Since the fall of 2013, we haveplanned and held events and training opportunities for graduate students across theuniversity’s colleges and maintained an online presence for our membership of 107students. In this article, we reflect on the successes of the Learning Circle, including asustained presence across an interdisciplinary group, securing funding, and engagingin successful collaborations. We also highlight our challenges, including attendance atevents, staying relevant in a quickly evolving field, and striving toward sustainability.Our hope is that this article provides a non-prescriptive guideline for students wishingto develop similar “by student, for student” initiatives to scaffold graduate studentlearning and engagement in KTT-KMb.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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