Toward a Critical Ethical Reflexivity: Phenomenology and Language in Maurice Merleau‐Ponty
Bibliographic record
Abstract
Working within the tradition of continental philosophy, this article argues in favour of a phenomenological understanding of language as a crucial component of bioethical inquiry. The authors challenge the 'commonsense' view of language, in which thinking appears as prior to speaking, and speech the straightforward vehicle of pre-existing thoughts. Drawing on Maurice Merleau-Ponty's (1908-1961) phenomenology of language, the authors claim that thinking takes place in and through the spoken word, in and through embodied language. This view resituates bioethics as a matter of bodies that speak. It also refigures the meaning of ethical self-reflexion, and in so doing offers an alternative view on reflexivity and critique. Referring to the Kantian critical tradition and its reception by Hannah Arendt and Michel Foucault, we advance a position we call 'critical ethical reflexivity'. We contend that Merleau-Ponty's phenomenology of language offers valuable insight into ethical reflexivity and subject formation. Moreover, his understanding of language may foster new qualitative empirical research in bioethics, lead to more nuanced methods for interpreting personal narratives, and promote critical self-reflexion as necessary for bioethical inquiry.
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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 | 0.029 | 0.042 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.016 | 0.096 |
| Scholarly communication | 0.015 | 0.024 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.006 | 0.011 |
| Insufficient payload (model declined to judge) | 0.002 | 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".