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Record W2119317550 · doi:10.1017/s1744137409990014

Economic growth related to mutually interdependent institutions and technology

2009· article· en· W2119317550 on OpenAlex

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

VenueJournal of Institutional Economics · 2009
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Growth and Productivity
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsIndustrial RevolutionInstitutionCulminationSteam enginePower (physics)InterdependenceEconomic systemEconomicsNeoclassical economicsMarket economyPolitical scienceEngineeringLawMechanical engineering

Abstract

fetched live from OpenAlex

Abstract: This paper argues that technological advance is a necessary condition for sustained economic growth. Technologies and institutions co-evolve in a system of mutual causation. Although some institutions inhibit growth while others encourage it, no single institution is either necessary or sufficient to produce sustained growth. However, some non-unique bundle of encouraging institutions is necessary. Sustained growth began with the Industrial Revolutions that did not just ‘fall out of the blue’ but were instead the culmination of three trajectories of technological advance in steam power, electric power, and the mechanization of textile manufacturing. These stretched over several centuries. Growth then became sustained when the West ‘invented how to invent’. A necessary condition for the Industrial Revolutions was Western science whose roots lie as far back as the scholastic philosophers and the medieval universities. Its absence elsewhere is a sufficient reason why no other place developed its own indigenous industrial revolution.

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)0.001
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 score0.119
Threshold uncertainty score0.952

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.018
GPT teacher head0.228
Teacher spread0.209 · 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