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The Social Structure of Knowledge In...
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Vicinanza, Paul.
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The Social Structure of Knowledge Innovation, Diffusion, and Practice.
Record Type:
Electronic resources : Monograph/item
Title/Author:
The Social Structure of Knowledge Innovation, Diffusion, and Practice./
Author:
Vicinanza, Paul.
Published:
Ann Arbor : ProQuest Dissertations & Theses, : 2023,
Description:
170 p.
Notes:
Source: Dissertations Abstracts International, Volume: 85-04, Section: A.
Contained By:
Dissertations Abstracts International85-04A.
Subject:
Language. -
Online resource:
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30614618
ISBN:
9798380484121
The Social Structure of Knowledge Innovation, Diffusion, and Practice.
Vicinanza, Paul.
The Social Structure of Knowledge Innovation, Diffusion, and Practice.
- Ann Arbor : ProQuest Dissertations & Theses, 2023 - 170 p.
Source: Dissertations Abstracts International, Volume: 85-04, Section: A.
Thesis (Ph.D.)--Stanford University, 2023.
Where do prescient ideas-those that initially challenge conventional assumptions but later achieve widespread acceptance-come from? Although their outcomes in the form of technical innovation are readily observed, the underlying ideas that eventually change the world are often obscured. Here we develop a novel method that uses deep learning to unearth the markers of prescient ideas from the language used by individuals and groups. Our language-based measure identifies prescient actors and documents that prevailing methods would fail to detect. Applying our model to corpora spanning the disparate worlds of politics, law, and business, we demonstrate that it reliably detects prescient ideas in each domain. Moreover, counter to many prevailing intuitions, prescient ideas emanate from each domain's periphery rather than its core. These findings suggest that the propensity to generate far-sighted ideas may be as much a property of contexts as of individuals.
ISBN: 9798380484121Subjects--Topical Terms:
643551
Language.
The Social Structure of Knowledge Innovation, Diffusion, and Practice.
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Where do prescient ideas-those that initially challenge conventional assumptions but later achieve widespread acceptance-come from? Although their outcomes in the form of technical innovation are readily observed, the underlying ideas that eventually change the world are often obscured. Here we develop a novel method that uses deep learning to unearth the markers of prescient ideas from the language used by individuals and groups. Our language-based measure identifies prescient actors and documents that prevailing methods would fail to detect. Applying our model to corpora spanning the disparate worlds of politics, law, and business, we demonstrate that it reliably detects prescient ideas in each domain. Moreover, counter to many prevailing intuitions, prescient ideas emanate from each domain's periphery rather than its core. These findings suggest that the propensity to generate far-sighted ideas may be as much a property of contexts as of individuals.
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https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30614618
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