Роль та місце гетьманича Данила Скоропадського в розгортанні гетьманського руху в еміграції \n(Role and Place of Hetman Danylo Skoropadskyi in Facilitating Hetman Movement in Emigration)
Bibliographic record
Abstract
Тези послідовно розкривають місце та роль гетьманича Данила Скоропадського у розгортанні гетьманського руху в еміграції. Після інкорпорації його до гетьманського руху у 1932 р., гетьманич Данило став одним із основних помічників свого батька – гетьмана Павла Скоропадського. Подорожі до США, Канади, Великої Британії дали змогу гетьманичу глибше зрозуміти проблеми та потреби руху, який він і очолив у 1948 році і керував ним 9 років до смерті у 1957 р. Протягом усього цього часу Данило Скоропадський поєднував працю інженера, яка забезпечувала заробіток на прожиття, з активною політичною діяльністю, що була духовною життєвою необхідністю, справою родинної честі та обов’язку. \n(This article reveals the place and role of Hetman Danylo Skoropadskyi in facilitating hetman movement in emigration. Being involved into hetman movement in 1932, Hetman Danylo became one of the main deputies of his father Hetman Pavlo Skoropadskyi. Danylo’s trips to the USA, Canada, and Great Britain gave him an opportunity to understand deeply the problems and needs of the movement which he chaired in 1948 and which he headed for 9 years until his death in 1957. Danylo Skoropadskyi combined the job of an engineer that provided him with an income for living and with an active political activity which was his spiritual necessity, the point of his family honour and duty.)
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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 | 0.001 |
| Science and technology studies | 0.006 | 0.009 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.020 | 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".