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Record W2135443903 · doi:10.1017/s0008938908000034

Environmental Chauvinism in the Prussian East: Forestry as a Civilizing Mission on the Ethnic Frontier, 1871–1914

2008· article· en· W2135443903 on OpenAlexaboutno aff
Jeffrey K. Wilson

Bibliographic record

VenueCentral European History · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean history and politics
Canadian institutionsnot available
Fundersnot available
KeywordsFrontierSlavic languagesChauvinismPossession (linguistics)Ethnic groupGeographyEthnologyArchaeologyForestryHistoryPolitical scienceLaw

Abstract

fetched live from OpenAlex

The Tuchel Heath (Tucheler Heide, Bóry Tucholskie) and Kashubia (Kassubei, Kaszuby), the two regions comprising the geographical region known as Pomerelia (roughly the area of the “Polish Corridor”), came into Prussian possession with annexations from Poland in 1772, when Friedrich II seized most of what would become the provinces of Poznania and West Prussia from the ailing Polish Republic. These territories, some liked to imagine, resembled the North American frontier. Friedrich II apparently compared it to Canada and “jokingly named the inhabitants his Iroquois.” Gustav Freytag immortalized Friedrich's arrival on the frontier in his workBilder aus der deutschen Vergangenheit, characterizing the place as “an abandoned land, without law, without authority; it was a wasteland.” Certainly, the harsh climate, the sprawling pine forests and barrens, and the impoverished populace suggested a certain affinity. In one description of the region from 1879, the author depicted the Slavic game poacher “as a red Indian on the warpath.”

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)0.000
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.132
Threshold uncertainty score0.262

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.008
Scholarly communication0.0020.002
Open science0.0000.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.071
GPT teacher head0.254
Teacher spread0.182 · 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 designQualitative
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

Citations11
Published2008
Admission routes1
Has abstractyes

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