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Record W2890125679 · doi:10.33137/cpoj.v1i1.30000

TRANSFORMATION, REVOLUTION, EVOLUTION: PROVOCATIVE TIMES FOR PROSTHETICS & ORTHOTICS

2018· article· en· W2890125679 on OpenAlexaffvenueabout
Silvia Raschke

Bibliographic record

VenueCanadian Prosthetics & Orthotics Journal · 2018
Typearticle
Languageen
FieldEngineering
TopicProsthetics and Rehabilitation Robotics
Canadian institutionsBritish Columbia Institute of Technology
Fundersnot available
KeywordsOrthoticsPublishingDisruptive innovationBespokeMedicineEngineeringBusinessPolitical sciencePhysical therapyMarketing

Abstract

fetched live from OpenAlex

ARE WE CRAZY?The launch of a new journal, the Canadian Prosthetics and Orthotics Journal (CPOJ), is a good time to consider the brilliance – or foolhardiness – of such a venture as well-established peer-review journals struggle to survive. The challenges faced by the traditional, print based, peer-review publishing model are rooted in a greater wave of rapid disruptive change influencing technology innovation models and economic models in a wide range of sectors, including health care across the clinical care delivery continuum.
 How will this change influence prosthetics and orthotics and what does it mean for the future? These are important questions to consider, as CPOJ charts a course aiming to respond to these trends in a positive, sustainable way while adhering to high professional and academic standards. Finding answers starts with a short reflection on the causes of this change: the threads weaving the fabric of the Fourth Industrial Revolution.
 Article PDF Link: https://jps.library.utoronto.ca/index.php/cpoj/article/view/30000/22875
 How to cite: Raschke S.U. Transformation, revolution, evolution: provocative times for prosthetics & orthotics. Canadian Prosthetics & Orthotics Journal. Volume1, Issue1, No1, 2018. DOI: https://doi.org/10.33137/cpoj.v1i1.30000

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.826
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.011
GPT teacher head0.231
Teacher spread0.221 · 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 designNot applicable
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

Citations1
Published2018
Admission routes3
Has abstractyes

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