Belarusian Diaspora: 2020–2021 (working paper of semi-structured interviews)
Bibliographic record
Abstract
This report is the result of a qualitative study of the Belarusian diaspora, based on 16 in-depth interviews with emigrants of different waves and from different countries - Germany, Israel, Canada, Cyprus, New Zealand, Latvia, Lithuania, Poland, Russia, USA, Turkey, Czech Republic, Sweden. The report contains a large array of quotes from the interviews, which can make the report useful for secondary analysis.In this report, the analysis focuses on the transformation of the identity, structure and forms of activity of the Belarusian diaspora caused by the events of 2020 in Belarus. If previously the diaspora was fragmented, poorly institutionalized and often dissolved in the post-Soviet migrant environment, then the wave of socio-political upsurge provoked by the COVID-19 pandemic and protests against election fraud led to qualitative changes. The report highlights several key stages of transformation: latent pre-COVID, solidarity (COVID), electoral and (post)August. Key findings:• Belarusians abroad have consolidated as an independent ethnocultural and political community;• horizontal self-organization of the diaspora has intensified through digital platforms and social networks;• a new, positive image of a Belarusian has formed — as a bearer of dignity, non-violent resistance and cultural maturity;• the emotional and symbolic connection with the Motherland has strengthened, despite the physical distance;• the diaspora has acquired a common point of assembly and a goal — solidarity with Belarusians in the country and resistance to the authoritarian regime.The transformation of the Belarusian diaspora is manifested not only in increased communication and cultural visibility, but also in sustainable political activity, expressed in actions, information campaigns, support networks and a rethinking of national identity.
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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 | 0.007 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".