Immigration post-soviétique. La certitude n’est plus ce qu’elle était (exemple montréalais)
Bibliographic record
Abstract
Post-Soviet Immigration : certainty is no Longer what it Used to be (Montreal as an exemple ). Post-Soviet immigration, the fourth wave of immigration during the past century, is the most heterogeneous. It did not form a collectivity according to the standards of the Loi canadienne sur le multiculturalisme. Its common denominator, the Russian language is not a sufficient criterion. The atheism of the majority as does not allow, as for some other ethnic groups, to make religion the central factor of a communitarian gathering. The first wave, «The White Russians» one, immersed itself in the nostalgia of Holy Russia and the distrust of the USSR ; the second one, fleeing Stalin’s camps after the war, tried to pass unnoticed and blend into the mass of people ; the third one, Jewish in majority convinced that it would conquer the right to be Jewish on northern American territory, showed eagerness to forget its sad past. The fourth one, was free to leave, attracted by the opulence of the New World. Convinced of their capacity to have the same positions they had in the USSR, many had to face disappointment and be content with casual jobs. The unexpected development of Moscow, the capacity of Russian people to master I.T. modified the dilapidated image of the country they had left. Although they had abandoned «the spiritual values» acquired at Soviet schools, most of the immigrants remained attached to their past : their children went to Russian schools, they bought books published in Russia, they had Russian tv via satellites installed, they flew back to their native country for their holiday. It is an indispensable compensation when you can’t make yours the culture of your country. Michael Epstein translates this strange ambiguity between two realities, the one you willingly abandoned and the other that you chose. Is it nostalgia ? A form of patriotism you were not aware of before leaving ? And of a country which no longer exist anymore ? Or of a country which emerged and in which there is no places for you any longer ?
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".