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Record W3005242796 · doi:10.15407/nte2019.02.028

Secular Plays in Churches: Folklore-Based Drama on the Canadian Prairies

2019· article· en· W3005242796 on OpenAlexaboutno aff
Natalie Kononenko

Bibliographic record

VenueFolk art and ethnology · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicFolklore, Mythology, and Literature Studies
Canadian institutionsnot available
Fundersnot available
KeywordsFolkloreDramaArtHistoryLiterature

Abstract

fetched live from OpenAlex

Starting from the late 19th century, Ukrainians have been recruited to settle and farm the prairies of Central and Western Canada. The Canadian government has tried to assimilate the Ukrainians who came and practiced an aggressive language policy, especially in the educational system. To counteract the governmental pressure of anglicization, Ukrainians have established their institutions: Orthodox and Eastern Rite Catholic churches. The churches and the organizations affiliated with them, such as Women’s Leagues, have taught folk traditions including pysanka-­writing, embroidery, and folk dances. Church halls and national houses are allowed for secular activities, such as folklore-­based plays in Ukrainian. The plays, popular in the 1950s–1960s, reflect the hopes and fears of Ukrainian Canadians concerning the relatives and friends they have left in Ukraine. The plays are no longer staged, and many of the rural churches are now closed. The revival of these plays has become a part of the Sanctuary Project, a multi­year team effort to document Ukrainian-­Canadian sacral culture.

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)0.002
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.061
Threshold uncertainty score0.444

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0390.012
Scholarly communication0.0050.002
Open science0.0010.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0080.000

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.

Opus teacher head0.021
GPT teacher head0.225
Teacher spread0.204 · 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

Citations1
Published2019
Admission routes1
Has abstractyes

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