Bibliographic record
Abstract
The article focuses on the love Estonians abroad have for their country of origin, compatriots, and people with different ethnic backgrounds.The research material consists of interviews, essays, and two novels.The interviews have mainly been collected from the Second World War refugees and their descendants in Canada, the USA, Australia, and Europe.The essays include immigrants' thoughts and feelings toward Estonia from the time of the restoration of the Republic of Estonia's independence onward.Elin Toona's novel Sipelgas sinise kausi all (The ant under the blue bowl) and Enn Nõu's novel Ma armastasin rootslast ehk Sollefteå suvi (I loved a Swede or summer in Sollefteå) are based on the authors' personal life experience in exile and reflect the refugees' attitudes toward Estonia as well as their host country.Based on the listed material, the article discusses the following issues: What are the sources of diaspora Estonians' patriotic feelings?How do the older diaspora generations teach the youth to love Estonia?Can the love for Estonia be unified with the love toward a non-Estonian?The research revealed that the descendants of the refugees love Estonia as their ancestors' homeland and the source of cultural heritage.For those who have never lived in Estonia the country may take on the connotation of a fairytale land.Retelling of memoirs by older generations about their lives in Estonia before the Second World War has still an important role in generating a sense of patriotism toward Estonia.At the beginning of the exile period, literature also took on the role of supporting patriotic upbringing; later on this function waned.The analyzed material points to changes in the attitudes of diaspora Estonians.During the post-war years, simultaneous love for Estonia and non-Estonians may have caused conflict situations as the general belief in the community was that mixed marriages threatened the sustainability of the Estonian diaspora.The younger generations as well as Estonians who left the homeland during the independence period starting from 1991 have a more multicultural attitude: they believe that mixed marriages and connectedness to some other culture do not limit their positive feelings toward Estonia.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.015 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.002 |
| 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".