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Record W4220684296 · doi:10.1017/cjn.2022.37

Access to Neurorehabilitation Interdisciplinary Outpatient Programs in British Columbia

2022· article· en· W4220684296 on OpenAlexaffvenueabout
Nathan Chen, Andre Prescott, Paul Winston

Bibliographic record

VenueCanadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicHealthcare Systems and Technology
Canadian institutionsUniversity of VictoriaUniversity of British Columbia
Fundersnot available
KeywordsNeurorehabilitationRehabilitationInclusion (mineral)Health careMedicineMedical emergencyNursingFamily medicinePsychologyPhysical therapyPolitical science

Abstract

fetched live from OpenAlex

This survey explored access to British Columbia (BC) hospital-based neurorehabilitation outpatient programs (HB-NROPs). Fifteen rehabilitation-focused healthcare providers were interviewed. Wait times for HB-NROPs were up to 3 months for initial appointments, and inclusion criteria were variable. Two HB-NROPs had occasional access to specialized physicians. Informal communication methods were preferred modes of collaboration. BC HB-NROPs varied in access, use of interdisciplinary care, and outcome measures used to measure performance. The lack of coverage for nonphysician services may be a barrier to collaborative care in the community. Future projects should explore solutions to improve funding and equal access to BC HB-NROPs.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.825
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0040.002
Scholarly communication0.0030.002
Open science0.0030.001
Research integrity0.0000.001
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 head0.051
GPT teacher head0.288
Teacher spread0.237 · 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.

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
Published2022
Admission routes3
Has abstractyes

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