MétaCan
Menu
Back to cohort
Record W2491855218 · doi:10.1057/9780230618541_7

The Conquest of Nature and the Mystique of the Eastern Frontier in Nazi Germany

2009· book-chapter· en· W2491855218 on OpenAlexaff
David Blackbourn

Bibliographic record

VenuePalgrave Macmillan US eBooks · 2009
Typebook-chapter
Languageen
FieldSocial Sciences
TopicEuropean history and politics
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsGermanNazismNazi GermanyHuman settlementTechnocracyPolitical scienceFrontierHistoryLawEconomic historyArchaeologyPolitics

Abstract

fetched live from OpenAlex

German subjugation of Poland in 1939 and early military successes against the Soviet Union after June 1941 unleashed grandiose projects for German settlements in the east. These proposed the uprooting of tens of millions of people. Germans and other approved races would be the settlers. Some of the original inhabitants would be “Germanized”; the rest were marked down for destruction, slave labor as “helot” peoples, or “resettlement” further east. This is now fairly well known, thanks to a striking shift of emphasis among recent historians of the Third Reich, away from the years 1933–1939, toward the six wartime years that followed. Scholars have familiarized us with the planning for a “German East”: Its brutality and soured utopianism, its dynamism that was always colored by interagency disputes. Many different elements and motives in those plans have been drawn out: a belief in geopolitical destiny; the loot and plunder of materials and manpower; the technocratic zeal of planners and “experts”; the drive for Lebensraum, or “living space”; the perceived need for military security on the border; the imperative of provisioning the Wehrmacht; and the underlying (although in practice highly inconsistent) belief in German racial superiority, with its corollary, the sense of a mission to bring German “order” to the backward east.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.868
Threshold uncertainty score0.953

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.011
GPT teacher head0.243
Teacher spread0.233 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations6
Published2009
Admission routes1
Has abstractyes

Explore more

Same venuePalgrave Macmillan US eBooksSame topicEuropean history and politicsFrench-language works237,207