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Record W1672968630

Opportunity creation from the confluence of technologies

2012· article· en· W1672968630 on OpenAlex
Elicia Maine, Viren Thaker, James M. Utterback

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

VenuePortland International Conference on Management of Engineering and Technology · 2012
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovation and Knowledge Management
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsConfluenceIntersection (aeronautics)Emerging technologiesComputer scienceProduct (mathematics)Work (physics)Data scienceEngineeringMathematicsArtificial intelligence
DOInot available

Abstract

fetched live from OpenAlex

A confluence of technologies evolves when more researchers begin to work at the intersection of two or more technology streams, and when products based on this intersection of technology begin to emerge. Thus, a confluence of technologies is characterized both by the bringing together of formerly disparate fields of knowledge and by the creation of new product markets. This paper reviews the literature that proposes that radical innovation and the emergence of new industries are more likely at the confluence of technology streams. From this literature we develop propositions about opportunity creation from the confluence of technology. We refine these propositions to apply specifically to a predominant confluence of technologies: that of nanotechnology and biotechnology.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.771
Threshold uncertainty score0.328

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 head0.034
GPT teacher head0.251
Teacher spread0.217 · 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