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Record W4403313187 · doi:10.1515/jbwg-2024-0020

Looking East and West for Pulpwood, Pulp and Paper: Great Britain as an Anomaly in Europe, 1860–1960

2024· article· en· W4403313187 on OpenAlexaffabout
Mark Kuhlberg, Timo Särkkä

Bibliographic record

VenueJahrbuch für Wirtschaftsgeschichte / Economic History Yearbook · 2024
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHistorical Economic and Social Studies
Canadian institutionsLaurentian University
Fundersnot available
KeywordsPulpwoodAnomaly (physics)Pulp (tooth)Pulp and paper industryEngineering

Abstract

fetched live from OpenAlex

Abstract The years 1860 to 1960 witnessed the birth and rapid expansion of the modern pulp and paper industry. Its sine qua non was access to enormous volumes of conifer trees that grew in the northern hemisphere’s temperate and boreal forests. Predictably, countries in northern Europe with large swaths of these woodlands became home to substantial pulp and paper industries. This article explains why Great Britain represented Europe’s glaring exception to this rule. Unique circumstances allowed it to become Europe’s largest newsprint producer even though it suffered from a dearth of conifers. Britain’s newspaper publishers grew their circulations and created the largest newsprint market in Europe for most of the period under examination. To meet their exploding demand for paper, they gained control over their country’s newsprint industry. Like producers in other western European countries, they looked to Scandinavia to address their lack of domestic wood supplies, but they also exploited their imperial connection to access a prodigious supply of fibre and pulps in Canada and Newfoundland. Britain’s competitive advantage in this regard was political and not economic because tapping this distant source of raw materials was costly. Nevertheless, British producers were able to absorb the higher costs because their business was vertically integrated. However, British producers could not outrun their resource deficit forever. Changing global industry conditions after World War II caused them to lose their preponderant standing.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.960
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.026
GPT teacher head0.227
Teacher spread0.201 · 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
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
Published2024
Admission routes2
Has abstractyes

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