Bibliographic record
Abstract
For those of us who believe deeply in a collaborative relationship between patients and doctors, the chaos created by the COVID-19 pandemic has brought an uncomfortable question to the fore: Is participatory medicine still relevant during a pandemic? Drawing liberally upon the Jewish tradition of Talmudic reasoning, I would like to offer 3 considered replies: "Yes," "no," and "it depends." Sometimes, patients may have no choice but to cede control to medical professionals, even though patients are still the experts on their own lives. Other times, the shared control of participatory medicine is both an ethical and clinical imperative. However, as the worldwide toll exacted by COVID-19 has made us grimly aware, no one is really in control. That is why, in these uncertain times, the path forward requires maintaining mutual trust between health care providers and patients, whatever the circumstances. After all, it is our bodies and our selves at stake.
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 | 0.109 | 0.080 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.092 |
| Scholarly communication | 0.016 | 0.032 |
| Open science | 0.003 | 0.021 |
| Research integrity | 0.024 | 0.034 |
| Insufficient payload (model declined to judge) | 0.008 | 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".