MétaCan
Menu
Back to cohort
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 OpenAlex
Eric Schatzberg

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

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.

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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.259
Threshold uncertainty score0.243

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.058
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