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Record W7133010738

Fit to graduate? A feasibility study.:Assess the feasibility of implementing OPPATTM procedure and data collection instruments in the Australian context.

2024· article· en· W7133010738 on OpenAlexaffabout
S; id_orcid 0000-0003-0637-8840 Sheridan, R.; id_orcid 0000-0002-1320-5801 Pope, R MacPhee, S MacQuarrie, S Fischer, G; id_orcid 0000-0001-9396-106X Buzza, H; id_orcid 0000-0001-8531-2465 Stack, L Bolton, J; id_orcid 0000-0002-3454-3084 Grevell, C. T.; id_orcid 0009-0008-5637-2918 Sheridan, J Buckman, R; id_orcid 0000-0002-3621-4452 Rayner

Bibliographic record

VenueCharles Sturt University Research Output (CRO) · 2024
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Health and Performance
Canadian institutionsUniversity of WaterlooWilfrid Laurier University
Fundersnot available
KeywordsData collectionContext (archaeology)Test (biology)Work (physics)Set (abstract data type)Physical fitness
DOInot available

Abstract

fetched live from OpenAlex

Fit to Graduate – A feasibility study. Assess the feasibility of implementing OPPATTM procedure and data collection instruments in the Australian context. Introduction There are significant injury rates across ambulance services in Australia. This may indicate a need for evidence-based pre-employment physical fitness assessment standards. This study aims to assess the feasibility of an existing, international, standardised pre-employment paramedic physical capacity test, the Ottawa Paramedic Physical Abilities Test (OPPATTM ), for application to Australian ambulance services. Methods: 12 paramedicine students studying an undergraduate paramedicine degree completed a 3MST20, a grip strength test, two employment based physical fitness tests , including the OPPATTM and the New South Wales Ambulance musculoskeletal assessment, and brief perception questionnaires following each test. Physiological data were collected during testing using Hexoskin devices and are being analysed descriptively. Qualitative data relating to perceptions of aspects of the feasibility of the tests for use in the Australian paramedicine context will be analysed through content analysis. Results Data analysis for the feasibility study is ongoing and complete findings will be available for presentation. Some initial key findings include that the OPPATTM is adaptable to the Australian context and may be implemented by universities. Of the 12 participants (n=12), six participants (50%) were eligible to commence all physical tests, and of these, two (2) completed all physical tests to a satisfactory level, as set by current pre-employment requirements. Conclusion The OPPATTM is adaptable and likely feasible for application in Australian ambulance services, however, current student paramedics may not be physically prepared for the test. Further work is needed to ensure standardised and appropriate pre-employment testing specific to the paramedic role.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.069
metaresearch head score (Gemma)0.084
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.069
Threshold uncertainty score0.365

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0690.084
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.004
Open science0.0010.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0100.003

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.

Opus teacher head0.685
GPT teacher head0.579
Teacher spread0.106 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes2
Has abstractyes

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