Започаткування україномовної освіти в Канаді: організаційний аспект
Bibliographic record
Abstract
У статті розглянуто становлення україномовної освіти і школи в Канаді в кінці ХІХ та у першій \nполовині ХХ століття. Проаналізовано проблеми організації україномовної професійної педагогічної освіти \nв період росту та диференціації української спільноти в Канаді. \nThe article reviews the settling Ukrainianspeaking \neducation and school in Canada at the end of XIX and \nfirst half of the XX century and analyzes the organizational issues of Ukrainianspeaking \nprofessional pedagogical \neducation during the period of the growth and differentiation of the Ukrainian community in Canada. \nВ статье рассматривается становление украиноязычного образования и школы в Канаде в конце ХІХ \nи в первой половине ХХ века. Проанализированы проблемы организации украиноязычного профессионального \nпедагогического образования в период роста и дифференциации украинского сообщества в Канаде.
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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 | 0.007 | 0.017 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".