Bibliographic record
Abstract
Bioethics is dominated by an emphasis on rule making and quandary solving. Teaching and research in ethics often focuses upon dramatic, controversial issues at the margins of life and death. Much less attention is given to the relationship between moral reflection and the ethos of place. Medical facilities, however, are moral worlds. To discuss the ethos of place is to focus on the character or atmosphere of particular dwellings. Architecture, interior design, and the interior creation of built environments have moral, spiritual, and aesthetic dimensions. Discussions of "ethics" need to be less oriented to rules and dilemmas, and more attuned to practical matters of everyday social experience. Instead of developing all-encompassing critiques of medical facilities as impersonal, alienating institutions, scholars from various fields need to explore the incremental steps that can make particular settings more decent, humane, and caring.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.010 | 0.045 |
| Scholarly communication | 0.017 | 0.014 |
| Open science | 0.002 | 0.019 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".