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Catholic and Malthusian: the Entrepreneurs of Tourcoing in the Nineteenth Century

2007· article· de· W2244555643 on OpenAlexaff
Béatrice Craig

Bibliographic record

VenueSocial Science Open Access Repository (GESIS – Leibniz Institute for the Social Sciences) · 2007
Typearticle
Languagede
FieldArts and Humanities
TopicFrench Historical and Cultural Studies
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsIndustrialisationOpposition (politics)FertilityHistorical demographySociologyPopulationHistoryDemographyEconomic historySocial scienceDevelopment economicsPolitical scienceDeveloped countryEconomicsLaw

Abstract

fetched live from OpenAlex

Die Religion ist ein Faktor, von dem erwartet wird, dass er das demographische Verhalten beeinflusst. Zum Beispiel sollte es die lang anhaltende Opposition der katholischen Kirche gegen Kontrazeption Paaren schwierig gemacht haben, den Umfang ihrer Familien zu kontrollieren, von denen oft angenommen wird, dass sie größer als der Durchschnitt waren. Seit der Arbeit von Landes (1976) werden große Familien, welche den intensiven Katholizismus der Gruppe widerspiegeln, als einer der Gründe für Nordfrankreichs schnelle Industrialisierung im 19. Jahrhundert beschrieben. Eine Studie des generativen Verhaltens der Industriellen zeigt indes, dass diese sozioökonomische Gruppe ihre Nachkommenschaft als Antwort auf ökonomischen Zwang begrenzte. Obwohl die Religion wahrscheinlich einen Einfluss auf ihre Fertilität hatte, wirkte sie nicht determinierend.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.185
Threshold uncertainty score0.369

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0070.008
Scholarly communication0.0040.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.087
GPT teacher head0.361
Teacher spread0.274 · 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 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
Published2007
Admission routes1
Has abstractyes

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