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Record W2315214672 · doi:10.1093/gerhis/ght021

Zwangsarbeit im Ersten Weltkrieg: Deutsche Arbeitskraftepolitik im besetzten Polen und Litauen 1914-1918

2013· article· de· W2315214672 on OpenAlex
Robert L. Nelson

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueGerman History · 2013
Typearticle
Languagede
FieldSocial Sciences
TopicEuropean history and politics
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsGermanFrontierFront (military)PopulationHistoryDiplomatic historyPeriod (music)GenocideWorld War IIEconomic historyPolitical scienceLawMedia studiesPoliticsSociologyInternational relationsGeographyDemographyArt

Abstract

fetched live from OpenAlex

Recently, at a small conference in Germany focused on the Eastern Front during the First World War, I was once again reminded of just how horrified my German historian colleagues are of the dreaded C-word . . . ‘continuity’. When the C-word was even hinted at, you could see the backs stiffen and the tension rise among those in the room who had received their PhDs from German universities. This was met with bewilderment from those of us educated and based outside Germany. In the non-German academic world, if you do not make a case for continuity, connection and relevance of your small specialty to the larger trends of national or global history you are dismissed as narrow-minded, provincial and largely unhelpful. Because the Indian Wars of the American nineteenth century were in fact a part of my talk there, I will make the following point: if an American historian of the Frontier West argued to his or her colleagues that, whether due to a change in federal administrations (the American Revolution), different social and cultural atmospheres, or varying forms of warfare and treatment of Native populations (from forced population transfer to genocide), one should not speak of some forms of ‘continuity’ between the first of those dozens of wars to the last, the speaker would quite simply be mocked, and perhaps even sneered at in the hallways. This American example draws on a period of over 150 years with obviously no continuous ‘personal’ history.

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.

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), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.428
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0020.003
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.043

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 head0.283
Teacher spread0.255 · 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