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Record W1990706786 · doi:10.1080/2201473x.2014.899551

A German on the Prairies: Max Sering and settler colonialism in Canada

2014· article· en· W1990706786 on OpenAlex

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueSettler Colonial Studies · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsColonialismGermanAgrarian societyPolitical scienceGovernment (linguistics)EthnologyEconomic historyGeographyLawSociologyHistoryAgricultureArchaeology

Abstract

fetched live from OpenAlex

In 1883, the Prussian Government sent the young agrarian economist, Max Sering, on a six month fact-finding tour of North America in order to a) discover why grain was being produced so much more cheaply there and b) why so many Germans were fleeing perfectly good soil in East Central Europe to settle on similar land in Nebraska and Manitoba. On this tour, and most importantly while in Manitoba, Sering discovered an organized program of ‘inner colonization’: the government was bringing citizens from the ‘full’ East (Ontario) and providing them land in the ‘empty’ West, ‘civilizing’ through farming Natives already in the West, securing the national border to the south, and creating strong, healthy, fertile, and conservative sons and daughters for the future of the nation. This is the concept that Sering brought back to Germany and in 1886 Chancellor Bismarck began a ‘Program of Inner Colonization’ in Germany's ‘East’ that began as something akin to what was taking place in the Canadian Prairies, but over the following decades evolved into something Sering could never have imagined.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.394
Threshold uncertainty score0.969

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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.018
GPT teacher head0.263
Teacher spread0.245 · 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