Paramedics’ confidences and concerns about infectious disease pandemics
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
Pandemics occur when a new or unfamiliar type or strain of infection is introduced, causing widespread illness globally. The unpredictable nature and impact of pandemics requires healthcare systems to prepare for the likely surge in sick patients, increased staff exposure to the infection, and possible absenteeism in pre-hospital and hospital care. However, research on pandemic preparedness in pre-hospital care is sparse, and there is particularly limited research on paramedic preparedness for pandemics. This comparative study engaged 13 paramedics from British Columbia, Canada about their confidences and concerns about working during a future pandemic, exploring both urban and rural community contexts. Participant views informed eight key recommendations for paramedic pandemic preparedness: pandemic planning documentation, collaborative planning, clear and trustworthy communication, compliance with infection prevention and control principles, education and training, adequate and effective equipment, a focus on staff and family well-being, and further research in pandemic preparedness.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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