A Narrative Phenomenological Approach to Transformative Learning: Lessons From Occupational Therapy Reasoning in Educational Practice
Bibliographic record
Abstract
Transformative learning involves the questioning of worldviews and underpins shifts in values and identity that are integral to critical occupational therapy practices. Cognitive theories of transformative learning name, but do not address, the experiential dimensions of transformation. The aim of this article is to conceptualize transformative learning from the perspective of narrative phenomenology in occupational therapy. An argument is presented that draws on research in occupational therapy professional reasoning and that makes visible the dimensions of transformation that are inherently experiential and meaning oriented. Three key concepts for a transformative pedagogy are defined and illustrated: scenes, emplotment, and embodied metaphors. The article concludes with the types of learning objectives for which this approach is suited and the pedagogical values that underpin these teaching practices. This article adds to the domain of health care education by defining and illustrating experiential and meaning-based practices as signature pedagogies for transformative learning.
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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 | 0.013 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.008 | 0.030 |
| Scholarly communication | 0.009 | 0.011 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.004 | 0.006 |
| 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".