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Record W3014671839 · doi:10.1353/tech.2020.0007

Where do Models of Innovation Come From? Benoit Godin, Models of Innovation

2020· article· en· W3014671839 on OpenAlexaboutno aff
Eric Schatzberg

Bibliographic record

VenueTechnology and Culture · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Historical and Scientific Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCivilizationSociologyHistory of scienceHistoryEpistemologyAnthropologyPhilosophyArchaeology

Abstract

fetched live from OpenAlex

Where do Models of Innovation Come From? Benoit Godin, Models of Innovation Eric Schatzberg (bio) In Models of Innovation: The History of an Idea (Cambridge, MA: MIT Press, 2017, pp. 344, hardcover $37), Benoît Godin, Professor of Science Studies at INRS in Montreal, has produced a thoroughly researched and carefully argued intellectual history of twentieth-century thinking about what we now term “technological innovation.” He frames his analysis around “models of innovation,” yet he goes far beyond the oft-repeated critiques of the linear model and the debates over alternatives. Instead, he uncovers the multiples sources that contributed to the rise of these models, while debunking the folk history produced by the community of scholars in STS and STI (science, technology, and innovation). Godin divides his history into three broad stages, each with a different type of model promoted by a particular set of actors. He starts with “stage” models from the early twentieth century, focusing on the evolution-diffusion controversy in anthropology. Evolutionary theorists, such as Edward Tylor and Lewis Morgan, saw the development of civilization as a series of stages. They argued that similar technologies often arose independently in different cultures. Diffusionists, in contrast, viewed humans as largely un-inventive, with inventions both social and material spreading through contact. Franz Boas was the leading anthropologist in this camp. Ultimately, invention and diffusion were reconciled, with invention and diffusion viewed as stages of a larger process. According to Godin, the invention-diffusion sequence was picked up by sociologists, most importantly William Ogburn, who wrote extensively about invention and social change. Ogburn developed a variety of explicit stage models, most of which started with the inventive idea and ended with widespread use or social effects. I think Godin reads more coherence into [End Page 337] Ogburn’s thought than is warranted, but Godin’s interpretation is not unreasonable. After WWII, rural sociologists took up the issue of diffusion of inventions. This line of thought began with Ryan and Gross’s 1943 paper on the adoption of hybrid corn among Midwestern farmers. This paper inspired a rich literature of diffusion studies among rural sociologists, culminating in Everett Rogers’s 1962 book, Diffusion of Innovations. Rogers explicitly analyzed innovation as a temporal process consisting a sequence of stages. These studies of diffusion were not exactly anticipations of the linear model, as they focused on the adoption of new technologies, not their creation. Godin next takes up the story of the linear model, explaining not only its emergence but also its persistence. He argues that this model has roots in industrial research. After WWI, supporters of industrial research presented it as a systematic alternative to the unplanned creativity of the independent inventor. One of these advocates was Maurice Holland, director of the Division of Engineering and Industrial Research in the U.S. National Research Council. In 1928, Holland proposed what he called the “research cycle,” a series of stages that described how research drove industrial progress. Holland’s sequence began not with the inventive idea, however, but with “pure science research” followed by “applied research,” then “invention,” with further stages leading to mass production. By starting his model with pure science (later called basic research), Holland provided a key element of what later became the linear model. The linear model, notes Godin, has often been attributed either to Joseph Schumpeter or Vannevar Bush. Neither claim is accurate. Godin argues that Joseph Schumpeter contributed very little to models of technological innovation, aside from a sharp distinction between invention and innovation. Similarly, Bush’s Science: The Endless Frontier was primarily a plea for funding basic science. Bush insisted that “basic research is the pacemaker of technological progress,” but he never provided any explanation for why this should be so. Rather than Bush or Schumpeter, Godin identifies the MIT economist Rupert Maclaurin as a key pioneer of the linear model. Maclaurin’s research on technological innovation began just after WWII, inspired by his work on a committee supporting the Bush report. Maclaurin also sought advice from Schumpeter, who suggested that he take a qualitative, historical approach to the topic. Maclaurin did just that, launching a research program at MIT on “The Economics of Technological Change...

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.996
Threshold uncertainty score0.089

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0040.016
Scholarly communication0.0090.031
Open science0.0020.003
Research integrity0.0070.010
Insufficient payload (model declined to judge)0.0070.002

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 head0.058
GPT teacher head0.215
Teacher spread0.156 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreReview

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".

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Citations1
Published2020
Admission routes1
Has abstractyes

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