Advancing Emergency Nurses’ Leadership and Practice through Informatics
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
Collection of data in healthcare is vitally important to inform healthcare resource planning and monitor effectiveness of care. The Canadian Emergency Department information System and Canadian Triage Acuity Scale are primary tools for collecting such data. Although emergency nurses use these tools to collect significant patient and healthcare data on daily basis, their understanding of the purposes and implications for collecting these data is sub-optimal. Furthermore, emergency nurses’ awareness about informatics, and the limited representation in information and communication technology strategic initiatives and research within Canadian emergency nursing are some barriers preventing nurses from realizing the full benefits of information and communication technology to improve patient and system outcomes, and nursing knowledge development. The National Emergency Nurses Association is well positioned to provide the leadership required to move nurses from being data collectors, to information users by maximizing their potential to advance Canadian emergency nursing practice through informatics.
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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