Synchronous Examination of Diaspora Communities: Slovenian Canadians in Ontario
Bibliographic record
Abstract
This article presents a model for studying diaspora communities as independent structures applied to the Slovenian-Canadian case and where the synchronous examination of diaspora communities and the literary system is the central subject of study. This paper presents an established research model, which does not examine diaspora communities as a bridge between the country of origin and the country of acceptance, but as a third autonomous, equivalent space. The model enables extra and intratextual analysis of literature, treatment of written and spoken language use and examination of formal and informal institutional situations of the diaspora community. This methodology is especially effective in the analysis of the diaspora community under contemporary conditions, where we find only the remnants of a once powerful system that have managed to be maintained over many decades up to the present, which is not possible from a distance (e.g. from Slovenia). Using the researcher's two years of fieldwork as well as the intra-community status of the researcher, the community was observed with the taxonomy of variables proposed by Howard Giles et al. (1971) that determines the empirical reality of minority communities. Due to the shortcomings of this approach in the analysis, we have established a more appropriate model, which not only enables the monitoring and assessment of the community, but on the basis of the theory of realization of national interpellation proposed by Marcello Potocco (2012), we are able to increase the actual vitality and strengthen the (Slovenian) national identity. The model allows participation in the activity, not only for observing, but for implementation of additional activity as well, according to the existing situations and needs of the community. The vitality of the community was re-assessed and the results compared with the pilot assessment. The comparison demonstrated that the proposed approach is effective. In the Slovenian community, in Ontario, the material factors of national interpellation are: socio-institutional context (interconnection of institutions), education, media, literary system (extra and intratextual), publishing market, the use of language (written, spoken) and other (religion, economy, music, sport and gastronomy).
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.008 |
| Science and technology studies | 0.018 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 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".