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Record W3200038719 · doi:10.33137/cpoj.v4i2.37250

EXOSEKETONS: A REHAB TECH CONSUMER’S UNEXPECTED MARCH TO ACTION

2021· article· en· W3200038719 on OpenAlexafffundvenueabout
Chloe Angus

Bibliographic record

VenueCanadian Prosthetics & Orthotics Journal · 2021
Typearticle
Languageen
FieldComputer Science
TopicAugmented Reality Applications
Canadian institutionsAnglo American (Canada)
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsAction (physics)BusinessPhysics

Abstract

fetched live from OpenAlex

This paper is both a stakeholder perspectives as well as a ‘case study’ describing a journey from sudden disability to participant and investor in exoskeleton design. It tells of my experiences and opinions, as a successful fashion designer, when my life took a drastic turn on becoming paralysed from the waist down over the course of 24 hours, by a spinal tumour. Getting this diagnosis was ‘the worst day in my life’, and it was quickly followed by the ‘second worst’ when, in my determination to walk again, I received Knee Ankle Foot Orthotics (KAFOs) and was shocked to learn that this appeared to be the best technology solution available on the market ‘suitable’ for use in the community. Initial anger at the system for not being better, at the rehab team for their complacency, and at myself for allowing a feeling of helplessness to take over led to questions such as: what does this say about our society? and what are we all willing to accept, for ourselves and others? This is professional opinion and an essay about how we see ourselves and how others see us. The journey from pre-injury ‘consumer’ to post-injury ‘disabled’ person and learning that being labeled ‘disabled’ leads to the additional handicap of the narrow vision of “cost” taken by the mobility industry where innovative ideas are stripped down to the bare minimum with the excuse that patients are “lucky” to have what they have been “given”. Grappling with these labels and inequities and seeking a better outcome, I became an integral team member of an exoskeleton development team, leading to the design of The Next Generation Exoskeleton! This is MY story, the story of Chloe Angus. It is the story of inclusive, user focused design and is a call to include and respect the end users of all assistive device technology design early in the design process and it is being told from the perspective of a person having experience and success in the world of business. Article PDF Link: https://jps.library.utoronto.ca/index.php/cpoj/article/view/37250/28296 How To Cite: Angus C. Exoseketons: a rehab tech consumer’s unexpected march to action. Canadian Prosthetics & Orthotics Journal. 2021; Volume 4, Issue 2, No.2. https://doi.org/10.33137/cpoj.v4i2.37250 Corresponding Author: Chloe AngusChloe Angus Design, Vancouver, BC, Canada.E-Mail: chloe@chloeangus.comORCID ID: https://orcid.org/0000-0002-5468-3121

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.826
Threshold uncertainty score0.979

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
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 head0.033
GPT teacher head0.291
Teacher spread0.258 · 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 designNot applicable
Domainnot available
GenreMethods

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
Published2021
Admission routes4
Has abstractyes

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