Charles Taylor, hermeneutics and <i>Social Imaginaries</i>: a framework for ethics research
Bibliographic record
Abstract
Hermeneutics, also referred to as interpretive phenomenology, has led to important contributions to nursing research. The philosophy of Charles Taylor has been a major source in the development of contemporary hermeneutics, through his ontological and epistemological articulations of the human sciences. The aim of this paper is to demonstrate that Taylor's ideas can further enrich hermeneutic inquiry in nursing research, particularly for investigations of ethical concerns. The paper begins with an outline of Taylor's hermeneutical framework, followed by a review of his key ideas relevant for ethics research. The paper ends with a discussion of my empirical research with critically ill children in Canada and France in relation to Taylor's ideas, chiefly Social Imaginaries. I argue that Taylor's hermeneutics provides a substantive moral framework as well as a methodology for examining ethical concerns.
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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 | 0.028 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.008 | 0.110 |
| Scholarly communication | 0.016 | 0.015 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.008 | 0.011 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".