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Record W2033513200 · doi:10.3390/technologies2010001

Analysis of North American Newspaper Coverage of Bionics Using the Disability Studies Framework

2014· article· en· W2033513200 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueTechnologies · 2014
Typearticle
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsBionicsNewspaperPsychological interventionPsychologyMedicineComputer scienceEngineeringAdvertisingArtificial intelligenceBusiness

Abstract

fetched live from OpenAlex

Bionics are a set of technology products that are constantly evolving. Bionics are proposed as body add-ons or replacement for many body parts (ears, eyes, knees, neural prostheses, joints, muscles, kidney, liver, cartilage lungs, discs, pancreas, dental pulp, skin, hippocampus, legs and hands), and functions such as speech. Two main applications of bionic products are discussed; one being for the restoration of body abilities to a species-typical norm and the other being the addition of abilities to the body that are not species-typical. Disabled people are one main group perceived to be in need of therapeutic interventions that use various bionic products. So far, therapeutic interventions are about restoration to the species-typical norm. However, therapeutic bionic products increasingly give the wearer beyond normal body abilities (therapeutic enhancements). Many so-called non-disabled people want the same enhanced body-abilities especially through non-invasive bionic products (e.g., non-invasive brain machine interfaces, exoskeletons). The media has the ability to shape public perceptions with numerous consequences. The purpose of this study was to provide quantitative and qualitative data on how bionic technologies and its users are portrayed in North American newspapers. Data was obtained from 1977 to 2013 from the Canadian Newsstand complete database which covers over 300 English language Canadian newspapers and two Canadian newspapers, one with national focus (The Globe and Mail) and one with local focus (Calgary Herald), and from 1980–2013 from one American newspaper with national reach (The New York Times). The study found (a) an almost always positive portrayal of bionics; (b) coverage of bionics mostly within a medical framework; (c) a predominantly stereotypical and negative portrayal of individuals with disabilities; and (d) a hierarchy of worthiness between different assistive devices such as a reporting bias favoring artificial legs over wheelchairs. At the same time the study did not find any engagement with social and ethical issues that are already raised about bionics in the literature, such as the increasing desire for enhancements, the use of bionics for non-therapeutic purposes and the issues socially disadvantaged people might face in the wake of bionic advancements. We posit that the newspapers generate a bionic discourse culture that is problematic for disabled people and other socially disadvantaged groups and that they do not prepare readers for the challenges that bionic advancements will pose for the general population in the future.

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)0.000
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.116
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.004
Science and technology studies0.0000.004
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.062
GPT teacher head0.365
Teacher spread0.303 · 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