Professionalism eliminates religion as a proper tool for doctors rendering advice to patients
Bibliographic record
Abstract
Religious considerations and language do not typically belong in the professional advice rendered by a doctor to a patient. Among the rationales mounted by Greenblum and Hubbard in support of that conclusion is that religious considerations and language are incompatible with the role of doctors as public officials.1 Much as I agree with their conclusion, I take issue with this particular aspect of their analysis. It seems based on a mischaracterisation of what societal role doctors fulfil, qua doctors. What obliges doctors to communicate by means of content that is expressed in public reason-based language is not that they are public officials. Doctors as doctors are not necessarily public officials. Rather, doctors have such obligations, because they are professionals. Unlike public officials doctors are part of a profession that is to a significant extent self-governing. This holds true for all professions. The …
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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 | 0.007 | 0.032 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.009 | 0.012 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.057 | 0.040 |
| Insufficient payload (model declined to judge) | 0.006 | 0.004 |
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".