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Record W2103451715 · doi:10.1503/cjs.025511

Physical rehabilitation following polytrauma. The Canadian Forces Physical Rehabilitation Program 2008–2011

2011· article· en· W2103451715 on OpenAlexvenueaboutno aff
Markus Besemann

Bibliographic record

VenueCanadian Journal of Surgery · 2011
Typearticle
Languageen
FieldMedicine
TopicTrauma and Emergency Care Studies
Canadian institutionsnot available
Fundersnot available
KeywordsRehabilitationPolytraumaMedicineHealth careMilitary personnelNursingPhysical therapyLawPolitical science

Abstract

fetched live from OpenAlex

As a consequence of Canada's involvement in the war in Afghanistan, many members of the Canadian Forces have experienced debilitating injuries. Despite the Canadian Forces Health Services (CFHS) having outstanding relationships with many civilian care providers for the rehabilitation of injured soldiers, it became apparent early on that the high-level goals and aspirations of these returning soldiers were sometimes beyond the capability of these centres to facilitate. From this reality grew the need to develop a Physical Rehabilitation Program within the CFHS. This article describes the lessons learned since the creation of the program and outlines the future vision in terms of unique challenges and opportunities. The primary purpose of this article is to describe a hybrid model of civilian-military rehabilitation for injured soldiers and discuss the benefits and challenges of such a model of care.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.397
Threshold uncertainty score0.728

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.046
GPT teacher head0.286
Teacher spread0.240 · 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 teacher head, 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

Citations17
Published2011
Admission routes2
Has abstractyes

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