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Record W3217019407 · doi:10.5604/01.3001.0015.5408

Rola organizacji pozarządowych w rozwoju ojczystojęzycznego szkolnictwa diaspory ukraińskiej w Kanadzie

2018· article· en· W3217019407 on OpenAlexaboutno aff
Іван Руснак

Bibliographic record

VenueStudia Gdańskie Wizje i rzeczywistość · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicMilitary, Security, and Education Studies
Canadian institutionsnot available
Fundersnot available
KeywordsUkrainianEthnic groupDiasporaPolitical scienceNational identityEconomic growthPeriod (music)Gender studiesSociologyLaw

Abstract

fetched live from OpenAlex

Ethnic civic organizations, associations and societies played an important role in the development of Ukrainian schooling in the diaspora during the entire period of its activity. In Canada, in particular, the Ukrainian Workers’ House played a special role in this case. With its efforts, 50 children’s schools have been founded, where almost two thousand pupils studied. In the 1920-s, the Ukrainian National Association (UNA) joined the development of native-language schooling. The most considerable activity in the development of national education of the settlers was shown by the Committee of Ukrainian Canadians (CUC), established in 1940, which, as founders, gradually included 30 ethnic organizations, societies and institutions. At each of its congresses, the issues of activity of native-language schooling was discussed, the concrete measures were developed as for its further development and improvement, strengthening of the influence on the evolution of the national minority and preservation of its ethno-cultural identity in the field of the ethnic environment.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.985
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.004
Scholarly communication0.0060.003
Open science0.0000.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.027
GPT teacher head0.319
Teacher spread0.293 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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