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Record W4379465855 · doi:10.33137/ic.v1i1.41227

Canadian Studies in Italy: A Literary Approach

2023· article· en· W4379465855 on OpenAlexvenueaboutno aff
Alessandro Gebbia

Bibliographic record

VenueItalian Canadiana · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsHistoryLiteratureLinguisticsArtPhilosophy

Abstract

fetched live from OpenAlex

Canadian Studies in Italy are quite a recent development.They began in the late '70s with the first Seminars of Canadian History and Literature held at the Universities of Genova, Pisa, Bologna and Messina, respectively by Professors Raimondo Luraghi, Luca Codignola, Giovanna Capone and Giovanni Bonanno, as the result of the emerging Canadian culture -the so-called Canadian Renaissance -and of the strenghtening relationship -'a natural social tie" publisher Jack McClelland defined it' -between our two countries.Since then, they have increasingly improved: the first International Congress, held in Bologna in 1977, was followed by four others (in Pisa, Urbino, Messina, Piazza Armerina) and a Sixth one is scheduled in Fasano for next Spring.In 1979, the Italian Association of Canadian Studies was established and, now has almost © MOND Où Pb 25 Canada: metafora per la letteratura, pp.48-61.COCO int palo

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)0.002
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.865
Threshold uncertainty score0.980

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0090.021
Science and technology studies0.0260.012
Scholarly communication0.0140.002
Open science0.0010.003
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0120.001

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 head0.063
GPT teacher head0.312
Teacher spread0.250 · 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
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
Published2023
Admission routes2
Has abstractyes

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