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Record W2532866235 · doi:10.1080/00085006.2016.1239858

Watson Kirkconnell on “The place of Slavic studies in Canada”: a 1957 speech to the Canadian Association of Slavists

2016· article· en· W2532866235 on OpenAlexafffundvenueabout
Heather J. Coleman

Bibliographic record

VenueCanadian Slavonic Papers · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicTranslation Studies and Practices
Canadian institutionsUniversity of Alberta
FundersUniversity of Alberta
KeywordsSlavic languagesWatsonSlavic studiesMulticulturalismCommunismCivilizationHistoryPolitical scienceClassicsLawPolitics

Abstract

fetched live from OpenAlex

This article introduces and reprints a speech by Watson Kirkconnell to the Canadian Association of Slavists in 1957. Watson Kirkconnell (1895—1977) was an influential Canadian scholar, university administrator, Baptist activist, and prodigious translator of verse. The introduction discusses his significant role in the development of Slavic and East European studies in Canada, as founder of the Humanities Research Council of Canada, and as an early promoter of multiculturalism in Canada. In his speech, Kirkconnell discussed his personal encounter with Slavic studies and the early development of the field in Canada, his role in the pre-history of the Canadian Association of Slavists, and the importance he accorded to fostering critical knowledge of the Slavic and East European societies and cultures in Canada. Slavic studies, he argued, were necessary both intellectually and politically: the Slavic and East European literatures constituted “major stones in the arch of modern civilization”; moreover, in the atmosphere of the Cold War, knowledge of the languages and societies of Soviet-dominated Central and Eastern Europe would play a fundamental role in the fight against communism.

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)0.005
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.861
Threshold uncertainty score0.999

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.005
Science and technology studies0.0460.017
Scholarly communication0.0110.003
Open science0.0020.004
Research integrity0.0050.008
Insufficient payload (model declined to judge)0.0060.001

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 head0.051
GPT teacher head0.250
Teacher spread0.200 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2016
Admission routes4
Has abstractyes

Explore more

Same venueCanadian Slavonic PapersSame topicTranslation Studies and PracticesFrench-language works237,207