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Record W7002324759

Natural Resources, electrification and economic growth from the end of the nineteenth century until World War II

2005· article· en· W7002324759 on OpenAlexaboutno aff

Bibliographic record

VenueRepository of Digital Objects for Teaching Research and Culture (University of Valencia) · 2005
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHistorical Economic and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsElectrificationCoalProductivityInvestment (military)Natural resourceWorld War IIOrder (exchange)Natural (archaeology)First world war
DOInot available

Abstract

fetched live from OpenAlex

The impact that the new energy source, electricity, had on the economic growth of a number of countries –USA, UK, France, Italy, Spain and Canada– characterised by their different coal endowments is the principal objective of this article. The new energy, amongst its other advantages, reduced the dependence on natural resources of coal as it could be generated out of different primary energies: namely water or coal. In order to assess the importance of this reduced dependence, a coal-and-electricity energy database is presented for all six countries. We show that the relative prices electricity-coal were low in countries with poor coal endowments, and we find that there was a negative relationship between relative prices electricity-coal and economic growth. Moreover, there was a relationship between the industrial electrification process in countries with no coal deposits and their investment process, their labour productivity increase, their economic and manufacturing industry growth, and the structural change they underwent.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.492
Threshold uncertainty score0.670

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 studies0.0010.001
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 head0.018
GPT teacher head0.211
Teacher spread0.193 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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
Published2005
Admission routes1
Has abstractyes

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