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Record W4246152597 · doi:10.24908/iqurcp.8055

Identity Propagan da: An Examination of Native Estonian and Canadi an Estonian Art Practices in Response to the Soviet Occupation

2017· article· en· W4246152597 on OpenAlexvenueaboutno aff
Lehti Mairike Keelmann

Bibliographic record

VenueInquiry Queen s Undergraduate Research Conference Proceedings · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsnot available
Fundersnot available
KeywordsEstonianNationalismIdentity (music)MulticulturalismGender studiesHistoryArtPolitical scienceSociologyAestheticsLawLinguisticsPolitics

Abstract

fetched live from OpenAlex

The response to the Soviet Occupation in Estonia was arguably one of the strongest examples of nationalism in our modern day. This nationalism was expressed in many ways, but became a lasting symbol in the art leading up to and after the collapse of the Soviet Union. This presentation examines the relationship artists in Estonia had with the stirrings of nationalism which occurred during the latter half of the Soviet Occupation, as well as the response of some of the artists belonging to the largest group of Estonians outside Estonia in Canada. Both sets of artists offer compelling examples of nationalism with a nostalgic return to folk art; this proves to be interesting when looking at the case of emerging multiculturalism in both Canada and Estonia. Some of the artists discussed include members of The Society of Estonian Artists in Toronto (E.K.K.T.), as well as three prominent late ­Soviet Estonian women artists­ Kaja Karner, Aili Vint, and Karin Luts.

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)0.003
metaresearch head score (Gemma)0.003
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 score0.829
Threshold uncertainty score0.341

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0120.005
Scholarly communication0.0060.001
Open science0.0010.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.264
GPT teacher head0.470
Teacher spread0.205 · 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
Published2017
Admission routes2
Has abstractyes

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