21. Inspiring Academics to Engage in Collegial Socialization: Pedagogical Provocations
Bibliographic record
Abstract
Academics who engage in collegial socialization can benefit in a variety of ways. The challenge, however, is creating a culture which inspires, within a voluntary model, academics to participate in such activities. Teaching development programs have tended to focus on teaching competencies and problem areas through offerings of workshops. It has been widely acknowledged that ‘workshops don’t work’ when working with academics to enhance teaching development. Further, it is usually expected those academics in need of improving their teaching will attend the learning activities offered by teaching centers on their own time. However, expecting academics to attend professional development activities on their time is not a reasonable assumption. For a voluntary model of teaching enrichment to work, creating a culture to support teaching is vital. In this paper we describe an activity, which we named ‘pedagogical provocations,’ in an attempt to engage academics in collegial socialization about teaching and learning through provocative collegial dialogue.
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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 | 0.010 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.014 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".