From Double to Triple Minorities: Romanian neo-Protestants from the Serbian Banat in the United States and Canada
Bibliographic record
Abstract
The paper is devoted to issues of emigration to overseas countries such as the United States and Canada, and of the integration of Romanian neo-Protestants from the Serbian Banat into the Diaspora. Since the position of neo-Protestant communities in different social and political circumstances was unfavorable, neo-Protestant believers began to emigrate, not only for economic reasons, but mainly in search of religious freedom. The emigration of Romanian neo-Protestants was particularly intense from the mid-sixties onwards, when the Yugoslav communist regime allowed its citizens to travel abroad. By going to the New World, the Romanians from the Serbian Banat joined existing neo-Protestant communities or established new communities, which would significantly affect their integration into the new environment, but also the creation of a separate and in many ways specific identity of a triple minority.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".