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Record W3086891586 · doi:10.1017/s1474745620000269

Western Europe's Long Retreat from Coal and Implications for Energy Trade

2020· article· en· W3086891586 on OpenAlexaff
Ronald Steenblik, Mark Mateo

Bibliographic record

VenueWorld Trade Review · 2020
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsInternational Institute for Sustainable Development
Fundersnot available
KeywordsCoalSubsidyEconomicsIndustrialisationCompetition (biology)Coal miningNatural resource economicsUnemploymentInternational tradeFossil fuelBusinessEconomyEconomic policyMarket economyEconomic growthEngineering

Abstract

fetched live from OpenAlex

Abstract Western Europe's industrialization was powered largely by coal. Within 15 years after the end of the Second World War, however, governments were subsidizing coal and protecting producers from foreign competition while allowing their industries to contract in a way that avoided large-scale unemployment of miners. The oil-price shocks of 1973–1974 and 1979–1980 gave temporary reprieve to hard-coal production until international oil prices slumped in 1986. This event, combined with ever more stringent environmental regulations and, later, caps on carbon-dioxide emissions, led to the disappearance of subsidized coal mining in one country after another. As of the end of 2019, hard coal was still being mined – in small amounts – in only three Western European countries: Norway, Spain, and the United Kingdom. This paper describes the history of the industry from 1945 through to the present, and the consequences of subsidy policy for trade in hard coal and its substitutes. A common observation is that a reduction in subsidized coal production by a country has not necessarily translated into increased imports of coal on a one-for-one basis.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.015
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.032
GPT teacher head0.240
Teacher spread0.208 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2020
Admission routes1
Has abstractyes

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