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Record W3188338679 · doi:10.5817/cejcs2018-12-13-15

[Olos, Ana. Circumstantial poems, plagiaries and versifications = Versuri de circumstanţă, plagiate şi mici însăilări ; Ştefoi, Elena. Canadian postcards]

2018· article· en· W3188338679 on OpenAlexaboutno aff
Don Sparling

Bibliographic record

VenueThe Central European journal of Canadian studies · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicLiterature, Musicology, and Cultural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsCircumstantial evidencePoetryArtHumanitiesHistoryLiteratureArchaeology

Abstract

fetched live from OpenAlex

It is probably safe to say that the English-speaking public's knowledge of contemporary Romanian poetry is very, very close to zero.Aside from its notorious lack of interest in literature from cultures outside the Anglophone orbit, there is the additional problem of a dearth of translations.This being the case, it is a pleasant and welcome surprise to be presented with not one but two volumes of verse by Romanian poets in English.And for Canadianists, the pleasure and welcome is doubled thanks to the strong Canadian element in both.Ana Olos is a name familiar to many Canadianists in the Central European region.Professor Emeritus of North University of Baia Mare, she was founder and director of the Canadian Studies Centre there, developing it into one of the most dynamic and innovative in Central Europe, its spirit reflecting the impulse that has shaped all of Olos's work and that might be summed up in Ezra Pound's dictum "Make it new!"The Unconventional Meetings of Young Canadianists she initiated became a byword for originality and creativity.In 'Twas Nice to Meet Findley Angry, drawing on the friendship she developed with the Canadian writer Timothy Findley and his partner, William Whitehead, she produced a remarkable and perhaps unique fusion of literary criticism, biography and autobiography.Her openness to new ideas and fresh approaches can be seen in all her writing and teaching.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.565
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.048
GPT teacher head0.278
Teacher spread0.230 · 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 teacher head, not a consensus.

Study designNot applicable
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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