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Record W1778706370 · doi:10.1017/cbo9780511492419.004

Economic development and economic performance

2001· book-chapter· en· W1778706370 on OpenAlexaff
John Cornwall, Wendy Cornwall

Bibliographic record

VenueCambridge University Press eBooks · 2001
Typebook-chapter
Languageen
FieldComputer Science
TopicEconomic Growth and Development
Canadian institutionsMount Saint Vincent UniversityDalhousie University
Fundersnot available
KeywordsBusiness

Abstract

fetched live from OpenAlex

Looking back over the twentieth century at what are now the advanced capitalist economies, one of the more outstanding characteristics of macroeconomic development has been the radical transformation of their economic structures, i.e. the tastes, technologies and institutions that shape economic activity. The fourfold increase in real per capita income since the early years of the twentieth century is not the result of balanced growth, with output expanding at the same rate in every sector. Instead, growth has been accompanied by large shifts in the composition of output and in the sectoral distribution of capital and labour, transformations that have led economic historians and economists to distinguish among epochs of capitalism, such as the ‘industrial’ and ‘post-industrial’ phases. But this observation barely scratches the surface. These transformations are themselves made possible by technological change, as within each sector industries grow and decay, product and process innovation are commonplace and resources continuously reallocated. And with technological change there have been changes in the lifestyle of individuals that go far beyond those implied by mere increases in income, however large, and, beyond even this, changes in society itself. A well-known example is the advent of the ‘age of steam’, which introduced the factory system and urbanization. In the case of such sweeping change to the type of work and its organization, and to how and where people lived, it is relatively easy to recognize that new rules and norms would become established to govern behaviour under these new conditions.

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 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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.989
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.016
GPT teacher head0.165
Teacher spread0.149 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2001
Admission routes1
Has abstractyes

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