The efficacy of PPE for COVID-19-type respiratory illnesses in primary and community care staff
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
<h3>Background</h3> Most cultures believe in ghosts and for the Chinese, the seventh lunar month—the ghost month—causes particular concern. ‘The gates of hell’ are open for the first 14 days of the month which allows the restless ghosts of people who were hungry when they died to haunt the living. In this study, it was hypothesised that if the notion that ghosts are out to harm the living could affect the Chinese, this may be reflected in death statistics. <h3>Methods</h3> Because the Chinese believe death is more likely during the ghost month, male and female deaths from all causes and from four common causes of death in the first and second fortnights of the seventh lunar months of 1995–2000 were compared in Hong Kong Chinese. Deaths in two consecutive fortnights 30 days before each year9s seventh lunar month were used as controls. Death data were compared using the binomial test with a null hypothesis probability of 0.5 between the first and second fortnights. <h3>Results</h3> There was no difference in male deaths between the first and second fortnights of the control and seventh lunar months. While there were no significant differences in female deaths during the control month periods, fewer women died overall in the first fortnight of the seventh lunar month (p=0.026). <h3>Conclusion</h3> To protect their family, the Chinese women postpone death until after the hungry ghosts have been fed and hopefully banished forever.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it