The Creativity of 'Unspecialization:' A Contemplative Direction for Integrative Scholarly Practice
Bibliographic record
Abstract
Within the context of health and social care education, attempts to define ‘scholarship’ have increasingly transcended traditional academic conceptions of the term. While acknowledging that many applied disciplines call for a kind of ‘actionable knowledge’ that is also not separate from its ethical dimensions, engagement in the caring professions in particular provides an interesting exemplar that raises questions about the nature and practice of ‘actionable knowledge’: how is such knowledge from different domains (the head, hand and heart) integrated and sustained? This paper is theoretical and wishes to outline some philosophical ideas that may be important when considering the characteristics of the kind of scholarship for caring practices that draw on deep resources for creativity and integration. Firstly, there is an attempt to clarify the nature of scholarly practice by drawing on Aristotle’s notion of ‘phronesis’ (practical wisdom). Secondly, a more meditative approach to the integration of knowledge, action and ethics is highlighted. Finally, its implications for scholarship are introduced, in which scholarly integration may best be served by more contemplative ways of being and thinking. Drawing on Heidegger and Gendlin, we consider the challenges of contemplative thinking for pursuing scholarly practice. We articulate contemplative thinking as an unspecialized mode of being that is given to human beings as an intimate source of creativity. The sense in which unspecialization can be cultivated and practised is discussed.
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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 | 0.185 | 0.092 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.016 | 0.260 |
| Scholarly communication | 0.034 | 0.050 |
| Open science | 0.008 | 0.038 |
| Research integrity | 0.013 | 0.030 |
| 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".