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Record W4390564651 · doi:10.1017/9781009235402.004

Settling In

2024· book-chapter· en· W4390564651 on OpenAlexaff

Bibliographic record

VenueCambridge University Press eBooks · 2024
Typebook-chapter
Languageen
FieldSocial Sciences
TopicConflict of Laws and Jurisdiction
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsAgrarian societyColonizationColonialismNavyLeaguePolitical scienceEconomic historyAncient historyGeographyLawHistoryAgricultureArchaeology

Abstract

fetched live from OpenAlex

This chapter covers Heinrich Sohnrey, the Question of the Land debate, Junker, the Agrarian League, the marriage of Rye and Iron, Adolf Wagner, Karl Oldenberg, Agrar- und Industriestaat, and Lujo Brentano. It discusses an Agrarian versus an industrial future for Germany. Bernhard von Bülow became Chancellor in 1900. Inner Colonization had been difficult in Posen and West Prussia, as Poles organizde a counter-colonial program. The chapter also discusses the Expropriation Law of 1908, alongside Junker, Bethmann-Hollweg, Sering in the Navy League, Agrarian Romantics who support building an iron Navy, overseas colonialism, and Geoff Eley. This period sees Sering challenged to a duel, Sayre’s law, Dernburg, and German southwest Africa. In 1908, Sering published Inheritance Law and Agriculture in Schleswig-Holstein from an Historical Basis. Race and Colonialism . The journal Archive of Inner Colonization was founded in this period. Inner colonization was a part of a continuum, from adjacent land to overseas colonies. The Society for the Advancement of Inner Colonization was also founded. The Junker were against Sering and the idea of inner colonization, for it demanded the break up of their large landed estates and parcellization into small farms. In 1912 Sering went to Russia.

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)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.438
Threshold uncertainty score0.801

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0080.002
Scholarly communication0.0080.006
Open science0.0020.008
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.4380.223

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 head0.028
GPT teacher head0.243
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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 routes1
Has abstractyes

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