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Record W4200484434 · doi:10.15353/cjds.v10i3.821

The Time Has Come, the Walrus Said, to Talk of Many Things: Wheelchair Securement Spaces on Commercial Airlines

2021· article· en· W4200484434 on OpenAlexvenueno aff
Michael P. Peck

Bibliographic record

VenueCanadian Journal of Disability Studies · 2021
Typearticle
Languageen
FieldEngineering
TopicTransportation and Mobility Innovations
Canadian institutionsnot available
Fundersnot available
KeywordsWheelchairDignityProcess (computing)AutonomyPaceBusinessInternet privacyStatuteLegislationCONTESTPublic relationsComputer securityComputer scienceMarketingLaw and economicsLawSociologyPolitical science

Abstract

fetched live from OpenAlex

Air travel poses special problems for people who use wheelchairs either periodically or consistently (wheelchair users). The wheelchair is, to some extent, an extension of the wheelchair user’s bodily autonomy. Personal dignity would be enhanced, and injury and discomfort would be reduced, if a traveling wheelchair user were allowed to remain in his or her own wheelchair for the duration of the flight. Although no law or regulation currently requires that option, groundwork has been laid in both case law and statutes that could lead to such a result. To be sure, safety and cost are paramount issues and must be adequately addressed. Some technological concerns have already been resolved and others are the subject of promising developments. Lobbyist groups are actively campaigning and, as a result, some airlines have shown interest in the proposal. The goal of in-cabin use of personal wheelchairs is achievable, but the process is likely to be incremental. During this period of COVID-19 pandemic-related disruption in the airline industry, both mainline and regional carriers should benefit from the Schumpeterian notion of creative destruction resulting in technical and business innovations. The catalyst needed to move the research and development process along at a faster pace might be a contest with some sort of reward such as has been used to foster other aeronautical innovations.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.348
Threshold uncertainty score0.786

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.033
GPT teacher head0.261
Teacher spread0.228 · 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

Citations1
Published2021
Admission routes1
Has abstractyes

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