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Record W3106748515 · doi:10.13169/prometheus.36.3.0217

Embedded research in rehabilitation engineering

2020· article· en· W3106748515 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

VenuePrometheus · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovative Approaches in Technology and Social Development
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsContextualizationContext (archaeology)Knowledge managementProduct (mathematics)Process (computing)EmbeddingComputer scienceEngineering ethicsEngineeringArtificial intelligenceHistory

Abstract

fetched live from OpenAlex

We examine concepts of new knowledge creation and embedded research in a case study on the i-limb, the world's first commercial prosthetic hand with five independently powered digits. Although the case demonstrates many elements of the mode 2 concept, that does not adequately describe the influence of context. In addition to the forces of contextualization, we argue there was also a strong influence on the R&D process and product from the embedding of scientific research and technology development in a location of use, specifically a prosthetic clinic in a hospital. We use the literature on embedded research to supplement our examination of this case of new knowledge creation. We contribute to the literature on mode 2 knowledge production and contexts of application by applying the literature on embedded research to explain the creation of new knowledge in locations of use.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.419
Threshold uncertainty score0.270

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
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 head0.103
GPT teacher head0.311
Teacher spread0.207 · 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