The Courage to SoTL
Bibliographic record
Abstract
Using Parker Palmer’s The Courage to Teach, and in particular the notion of the undivided life, to guide reflections through the process of collaborative autoethnography, we reflect on our lived experiences with the Scholarship of Teaching and Learning (SoTL). The central question being: How does Palmer’s idea of the undivided life enable SoTL scholars to explore notions of identity and integrity that are intertwined with our academic practice? Ultimately, we found that Palmer’s insights provoked us to think deeply about our identities, and while perhaps we did not always see ourselves on the paths he illuminates, his work, and our collaborative ethnographic process, helped us to illuminate our own paths. More specifically, we share five themes arising from our collaborative autoethnography related to the importance of context and positionality, defining a SoTL scholar, the power to diminish, the importance of relationships and community, and collaborative autoethnography as method and process. Our stories highlight the need for us to see our community as complex, messy, and deeply human, and we remind readers of the need to think about the ethics of all methods and the power in our everyday practice to include or exclude.
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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 | 0.008 | 0.037 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.061 |
| Scholarly communication | 0.014 | 0.012 |
| Open science | 0.001 | 0.013 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.006 | 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".