Bibliographic record
Abstract
The infection control communities in Britain and the United States (US) are experiencing an extraordinary conceptual shift with legislated mandatory reporting of hospital infections. In Britain, this shift began in 2001 with methicillin‐resistant Staphylococcus aureus (MRSA) bacteremia episodes (1), which are reported to the National Health Service and are publically available on a Health Protection Agency Web site. In the US, the impetus for public reporting of infection rates has come from consumer groups (2). These organizations have bypassed health care organizations and public health and other practitioners, and have addressed their demands to state legislatures. At least eight states have now passed and several more are considering legislation to mandate reporting. The process has been rancorous and, at least initially, vigorously opposed by health care organizations and infection control practitioners.
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 | 0.079 | 0.182 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.009 | 0.042 |
| Scholarly communication | 0.026 | 0.042 |
| Open science | 0.003 | 0.013 |
| Research integrity | 0.014 | 0.022 |
| Insufficient payload (model declined to judge) | 0.021 | 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".