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Record W2000681444 · doi:10.12968/jpar.2013.5.5.286

International student paramedic exchange: the student perspective

2013· article· en· W2000681444 on OpenAlexaffabout
Kate Ashton, Rebecca Davies, Shaun Corkhill, D. W. Anthony, Violetta Krantsevich

Bibliographic record

VenueJournal of Paramedic Practice · 2013
Typearticle
Languageen
FieldHealth Professions
TopicInterpreting and Communication in Healthcare
Canadian institutionsCentennial College
Fundersnot available
KeywordsCentennialEmergency Care PractitionerCombat Medical TechnicianMajor traumaAmbulance serviceMedical educationPerspective (graphical)PsychologySociologyPedagogyPolitical scienceProfessional developmentMedicineContinuing professional developmentMedical emergencyPsychiatry

Abstract

fetched live from OpenAlex

An annual student exchange between Liverpool John Moores University (LJMU) and Centennial College of Ontario, Canada, has taken place within the paramedic programmes of each educational institute since 2009. The exchange allows students to take part in observation shifts on ambulances and gain an overview of healthcare systems within a different national setting. It also allows students to gain lifetime friendships and links to students and colleagues within the paramedic field on an international basis. This article gives the perspectives of five students who have taken part in this exchange, from both Centennial College and Liverpool John Moores University, looking at what each of them has gained from the experience, and how it will benefit their future careers.

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)0.007
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0170.007
Scholarly communication0.0180.010
Open science0.0020.013
Research integrity0.0070.014
Insufficient payload (model declined to judge)0.0160.002

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 head0.066
GPT teacher head0.539
Teacher spread0.473 · 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 designQualitative
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

Citations3
Published2013
Admission routes2
Has abstractyes

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