Fit to graduate - Perceptions of paramedicine students' physical preparation for the physical role of the paramedic:A pilot study
Bibliographic record
Abstract
Introduction Across paramedicine undergraduate degrees in Australia there are variations in physical preparation activities embedded in work integrated learning (WIL) activities or the curriculum. This study therefore aims to assess the perceptions of student paramedics regarding physical preparation activities for the paramedic role in the undergraduate paramedicine degree program at Charles Sturt University (CSU). Methods: In this pilot study, 12 paramedicine students studying an undergraduate paramedicine degree completed a three-minute step test (3MST20), a grip strength test, two employment based physical fitness tests, including the Ottawa Paramedic Physical Abilities Test (OPPATTM) and the New South Wales Ambulance musculoskeletal assessment, followed by brief perception questionnaires after each physical test. Qualitative data relating to student perceptions of their physical preparation for the Australian paramedicine context is analysed through content analysis. Results Data analysis for the pilot study is underway and complete findings will be available for presentation. Some initial key findings include that participants feel underprepared for the role based on the undergraduate degree curriculum and there are perceived to be no physical fitness preparation activities. Student paramedics would like to see relevant, specific, curriculum based physical preparation programs. Conclusion Further work is needed to assess the practicality of integrating existing, standardised and evidenced based physical employment requirements into the CSU undergraduate paramedicine degree program perhaps as a part of WIL pre-requirements, however, it appears to be important to paramedicine students.
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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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".