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Record W2089365883 · doi:10.1080/13668790601150685

Disability, Technology, and Place: Social and Ethical Implications of Long-Term Dependency on Medical Devices

2007· article· en· W2089365883 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEthics Place & Environment · 2007
Typearticle
Languageen
FieldHealth Professions
TopicAssistive Technology in Communication and Mobility
Canadian institutionsHolland Bloorview Kids Rehabilitation HospitalDe VeberLaurentian UniversityUniversity of Toronto
Fundersnot available
KeywordsNormativeEmbodied cognitionDependency (UML)Social model of disabilityBioethicsAdaptation (eye)Power (physics)PsychologyEngineering ethicsSociologyEngineeringComputer sciencePolitical sciencePsychiatry

Abstract

fetched live from OpenAlex

Medical technologies and assistive devices such as ventilators and power wheelchairs are designed to sustain life and/or improve functionality but they can also contribute to stigmatization and social exclusion. In this paper, drawing from a study of ten men with Duchenne muscular dystrophy, we explore the complex social processes that mediate the lives of persons who are dependent on multiple medical and assistive technologies. In doing so we consider the embodied and emplaced nature of disability and how life is lived through bodies coupled with technologies and experienced as ‘techno-body-subjects in situ’. Normative implications for theory and research, including bioethics research, are discussed.

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.

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)0.006
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.146
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.004
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0030.006
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 head0.096
GPT teacher head0.472
Teacher spread0.376 · 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