Self-identification processes and their reflection in the language of fourth-wave emigrants in Montreal
Bibliographic record
Abstract
The thesis analyzes the speech behavior of Russian emigrants of the fourth wave during the period of their adaptation to the life in the "new" country. The research is based on text material collected in the Montreal Russian community in the period 1998--2003. In the course of processing the material the author used methods of comparative analysis and lexical and semantic analysis. The thesis deals with the linguistic forms in which the process of individual self-identification materializes when people leave their mother country to live in another. Special attention is paid to the terms used to describe the homeland, the "new" country and the emigre. Words and expressions found in the course of the research process are quoted, and their place and meaning in the modern Russian language both in the mother country and abroad are discussed. The research of the fourth-wave Russian emigrants' language showed certain peculiarities proving that emigrants use a metalanguage different from the language of the mother country. It also contains various loan words and words and expressions with displaced or changed meaning.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".