Bulgarian immigrants to Canada: Sociocultural and linguistic identity
Bibliographic record
Abstract
Integration is an intricate and extended process that \ninvolves a number of sociolinguistic, cultural, political and economic variables which derive from the society of origin, the social context, the languages that are in contact and the linguistic conflict between them and various aspects of the host community. The study of different aspects of immigrant identity has been the focus of research for several decades now, especially in recent years when we are witnessing more migration on a global scale than heretofore. Scholars have adopted various perspectives on immigration depending on the aims of their research: economic, social, cultural, ethnic, linguistic, \nintegrational, among others. The present study is a contribution to this major debate. It is a sociolinguistic and sociocultural analysis of first-generation Bulgarian immigrants to Canada and aims to add to the scarce research on this particular topic within the broader theme by providing a multi-aspect view of the reasons for emigrating, based on the Canadian immigrant policy and the image created of Canada in Bulgaria, the cultural identity of Bulgarians in Canada, their social integration and sociocultural experience, the specifics of the language they use.
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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 | 0.000 | 0.001 |
| 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 | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".