ДІЯЛЬНІСТЬ ГРОМАДСЬКО-КУЛЬТУРНИХ ЛЕМКІВСЬКИХ ОРГАНІЗАЦІЙ США, КАНАДИ ТА УКРАЇНИ ХХ СТОЛІТТЯ
Bibliographic record
Abstract
The purpose of the article is to investigate the problem of the history of emigration of Lemkos and Rusyns to Canada and the United States, and reveal the areas of activity of the Lemko and Rusyn cultural organizations. The research methodology consisted in the combination of methods of cognition, caused by the requirements of the objective analysis of historical sources, which reflect the main trends of the development and functioning of socio-cultural Lemko, Rusyn and Carpatho-Rusyn organizations of the United States, Canada, Ukraine, etc. The scientific novelty of the work lies in a comprehensive coverage of the history of emigration and the disclosure of the dynamics of the development of cultural-social organizations and the process of formation and establishment of the national-ethnic identity of Lemkos, Rusyns and Carpatho-Rusyns in general.Conclusions. It was proved that Lemkos (Rusyns) had suffered severe historical trials in a long time but, despite everything, gathering together in socio-cultural organizations, did and continue doing a lot of useful things and activities aimed at popularizing their traditions, partial preservation of their native dialect and establishment of their self-identification in our time.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.003 |
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".