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Record W3150185223 · doi:10.1515/jbwg-2018-0019

Real Wages in Germany during the First Phase of Industrialization, 1850-1889

2018· article· en· W3150185223 on OpenAlexaboutno aff
Ulrich Pfister

Bibliographic record

VenueJahrbuch für Wirtschaftsgeschichte / Economic History Yearbook · 2018
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHistorical Economic and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIndustrialisationEconomicsDiversification (marketing strategy)Real wagesWageIndex (typography)Volatility (finance)Quarter (Canadian coin)Price indexLabour economicsMarket economyMacroeconomicsBusinessGeographyEconometrics

Abstract

fetched live from OpenAlex

Abstract The study constructs new wage series at the branch level and aggregates them to an index of nominal wages in industry and urban trades in 18481889. Moreover, the study develops new food price and rent indices. These are then combined with price indices for other categories of household expenditure from Hoffmann (1965) into a consumer price index for 1850-1889. The new real wage index shows little growth for the third quarter of the nineteenth century; the first phase of rapid industrialization from the 1840s to the early 1870s had only a small positive impact on the living standard of the industrial and urban lower classes. Only from the 1880s, when Germany moved into a second phase of industrialization, did the real wage experience a sustained and rapid increase. Nevertheless, the diversification of employment opportunities taking place in the wake of industrialization and the European grain invasion were accompanied by a marked reduction of income volatility among lower-class households already from the 1870s.

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.804
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.036
GPT teacher head0.251
Teacher spread0.215 · 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; both teacher heads agree on what is shown here.

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

Citations7
Published2018
Admission routes1
Has abstractyes

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