Practice meta-environment of the cardiovascular perfusionist
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
Though historically the development of cardiovascular perfusion grew out of the need for cardiopulmonary bypass, the application of technologies of extracorporeal support has more recently expanded beyond the traditional domain of the cardiac surgical operative and peri-operative environment. As a result, perfusionists are sometimes required to work in novel clinical settings. As part of our recent national survey to evaluate the effects of changes in entry-to-practice criteria introduced in Canada in 2006, we asked perfusionists if their current position as a perfusionist involves work outside the OR. We found that, in addition to regularly working in the Intensive Care Unit and Cardiac Catheterization Lab, 55.3% of respondents reported working "occasionally" in the Emergency Room and 74.7% reported working "occasionally" or "often" in other clinical areas. However, while 96% of respondents believed their training adequately prepared them for their job as a perfusionist, only 68% felt their training adequately prepared them for their duties outside the operating room. We also noted a trend that admission under experience-based entry-to-practice criteria was associated with a higher likelihood of perceived adequacy of training in preparation for duties outside the OR than education-based admission criteria (72% vs 59.4%, p=0.065). These findings raise important questions pertaining to the sufficiency of perfusion education in Canada and the influence of soft skills in preparing perfusionists for their duties, and indicate that a systematic study of the practice environment of cardiovascular perfusionists is timely.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.006 |
| 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 | 0.001 | 0.001 |
| 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