Bibliographic record
Abstract
What happens if, as a priest, vicar, rabbi, or imam, you lose your faith?Well, there is an organisation, the Clergy Project, that supports religious professionals who are questioning their convictions.1 These disenchanted professionals may no longer cherish the same rites and rituals but are supported to stay in the profession and keep helping their communities.We believe that medicine should do the same for healthcare professionals who want to carry on but are struggling to understand why.It's sad when patients lose their faith in medicine.This article, however, is about something potentially worse-a possible crisis of faith among doctors and nurses.The most recent evidence of this is a General Medical Council (GMC) survey that shows more than a third of UK doctors are dissatisfied with their careers and many are considering quitting.2 The NHS is often described as the UK's national religion, so, if you are questioning your medical vocation, we want to step up and help.
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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 | 0.008 | 0.042 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.024 | 0.027 |
| Insufficient payload (model declined to judge) | 0.008 | 0.006 |
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".