‘The Tool of Our Trade’: Defining and Teaching Empathy in College Programs
Bibliographic record
Abstract
Empathy is a fundamental skill in developing trusting, respectful relationships, which is a required capacity for many college program graduates upon entering the Canadian workforce. However, little is known about how faculty define, value, and teach students to develop and effectively utilize empathy. A grounded methodological approach shaped the gathering of curriculum and interview data to assess relevant faculty understandings and teaching approaches. Faculty generally shared an understanding of empathy as ‘putting yourself in another person’s shoes’, while also valuing attention to emotions and a perspective-taking orientation. All faculty saw empathy as central to their students’ future success in the field, and to the well-being of Canadian society as a whole. A variety of teaching approaches were noted, with an emphasis on experiential methods. Faculty members expressed universal interest in further collaboration with peers.
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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 | 0.020 | 0.031 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.020 | 0.025 |
| Scholarly communication | 0.010 | 0.010 |
| Open science | 0.002 | 0.015 |
| Research integrity | 0.003 | 0.010 |
| Insufficient payload (model declined to judge) | 0.004 | 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".