The Story of Josef Lainck: From German Emigrant to Alien Convict and Deported Criminal to Sachsenhausen Concentration Camp Inmate
Bibliographic record
Abstract
Josef Lainck, a German national emigrated to Canada in July 1927. He arrived in Quebec City and travelled west to Edmonton, Alberta where he became a burglar and shot a police officer. Lainck was arrested in November 1927 and deported to Germany in 1938, upon arrival he was arrested and interned in the Sachsenhausen concentration camp until April 1945. This article will examine Lainck’s emigration to Canada, arrest and deportation to Nazi Germany. Lainck’s case is illuminating as it reveals information on deportations from Canada and the Third Reich’s return migration program and how undesirables were treated within Germany. The Third Reich’s return migration plan encouraged returnees to seek their deportations as a method of return. Canadian extradition procedures cared little for the fate of foreign nationals expatriated to the country of their birth regardless of the form of government or the turmoil that plagued the nation. This work will compare Canadian to American deportation rates as an illustration of Canada’s harsh deportation criterion. In this article, the policies and practices of immigration and deportation are discussed within a framework of insecurity as a key driver for human mobility in the first half of the 20th century.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.059 | 0.020 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.004 | 0.009 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".