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Record W4396977576 · doi:10.33137/ic.v38i1.43409

An Interview with Fulvio Caccia

2024· article· en· W4396977576 on OpenAlexvenueaboutno aff
Mary Melfi

Bibliographic record

VenueItalian Canadiana · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicInterdisciplinary Cultural and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPsychology

Abstract

fetched live from OpenAlex

In this interview, Fulvio Caccia, an Italian-Canadian Gover­nor General’s Award–winning francophone poet, novelist, and essayist, reflects on his literary career spanning over four decades. A prolific writer who has published over two dozen books, Caccia discusses the underlying themes in his works and the unique challenges posed by dif­ferent literary forms. Caccia acknowledges that he often explores themes of identity and belonging in his creative endeavours, readily unravelling the layers of the immigrant experience. In his search for self-discovery, he challenges conventional notions of nationality and cultural belong­ing. A Montrealer at heart, but now living in the Paris region, Caccia delves into the genesis of his novel, La coïncidence (Triptyque, 2005), which focuses in part on the École Polytechnique massacre, a mass shooting that occurred on the grounds of the University of Montreal on 6 December 1989, killing fourteen female engineering students and injuring many others. In the narrative, the author looks into the endur­ing impact of past traumas on present lives, the complexities of human relationships, and the interplay of fate, love, and tragedy. Beyond a mere discussion of this novel, which was translated from French into English by Robert Richard and published by Guernica Editions in 2015, Caccia offers in this interview profound insights into his poetry, which draws extensively from his experiences as the son of Italian immigrants.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.778
Threshold uncertainty score0.899

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.028
GPT teacher head0.336
Teacher spread0.308 · 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.

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
Published2024
Admission routes2
Has abstractyes

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