Conscience: An Investigation in Stenian Philosophy in Relation to Bioethics
Bibliographic record
Abstract
This article investigates how Edith Stein’s philosophical work on conscience is relevant for appreciating conscience today. In particular, this article shows how Stein’s contributions to conscience explicates what it is and why it is relevant for moral decision making. Moral decision making is necessary in bioethics and healthcare. However, leading bioethicists today lack an understanding of what conscience is, how it applies to healthcare practice and why it should be respected. Recent developments in obligatory referrals for healthcare professionals reveal further challenges related to appreciating conscience in current bioethical contexts. In this article, I consider the importance of Stein’s work on conscience to address the gap in knowledge related to conscience in bioethics today. To do so, I will outline the main aspects of Stein’s phenomenological and metaphysical approaches to the psycho-spiritual-physical aspects of being human. I will then describe her work on conscience. Next, I will discuss how contemplation vis à vis the Catholic imagination could provide a way to perceive how conscience is a response to morality. Finally, I will show how Stein’s work can refute contemporary approaches to conscience and obligatory referral.
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.034 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| 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".