MétaCan
Menu
Back to cohort
Record W1562275138 · doi:10.3386/w15440

The Reorganization of Inventive Activity in the United States during the Early Twentieth Century

2009· report· en· W1562275138 on OpenAlex
Naomi R. Lamoreaux, Kenneth L. Sokoloff, Dhanoos Sutthiphisal

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueNational Bureau of Economic Research · 2009
Typereport
Languageen
FieldEconomics, Econometrics and Finance
TopicInnovation Policy and R&D
Canadian institutionsMcGill University
FundersAnderson School of Management, University of California, Los AngelesSocial Sciences and Humanities Research Council of Canada
KeywordsEconomic geographyGeography

Abstract

fetched live from OpenAlex

The standard view of U.S. technological history is that the locus of invention shifted during the early twentieth century to large firms whose in-house research laboratories were superior sites for advancing the complex technologies of the second industrial revolution. In recent years this view has been subject to increasing criticism. At the same time, new research on equity markets during the early twentieth century suggests that smaller, more entrepreneurial enterprises were finding it easier to gain financial backing for technological discovery. We use data on the assignment (sale or transfer) of patents to explore the extent to which, and how, inventive activity was reorganized during this period. We find that two alternative modes of technological discovery developed in parallel during the early twentieth century. The first, concentrated in the Middle Atlantic region, centered on large firms with in-house R&D labs and superior access to the region's rapidly growing equity markets. The other, located mainly in the East North Central region, consisted of smaller, more entrepreneurial enterprises that drew primarily on local sources of funds. Both modes seem to have made roughly equivalent contributions to technological change through the 1920s. The subsequent dominance of large firms seems to have been propelled by a differential access to capital during the Great Depression that was subsequently reinforced by the regulatory and military procurement policies of the federal government.

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)0.011
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 score0.295
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.248
GPT teacher head0.437
Teacher spread0.189 · 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