A German on the Prairies: Max Sering and settler colonialism in Canada
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.
Bibliographic record
Abstract
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it