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Record W7131067942 · doi:10.14273/unisa-6972

A Round-Trip Journey to America: Giose Rimanelli's "Biglietto di terza"

2025· other· en· W7131067942 on OpenAlexaboutno aff
Sheryl Lynn Postman

Bibliographic record

VenueOpen MIND · 2025
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsWitnessImmigrationNarrativeRefugeeBiography

Abstract

fetched live from OpenAlex

Giose Rimanelli’s book, Biglietto di terza, is one of his least studied texts and, at the same time, one that has bewildered the critics and its readers for many years. Some believe that the narrative is the author’s autobiography detailing a trip to Canada to visit his family; others assume that he is in search of his American roots; and still others think that it is a travelogue of an Italian in Canada. A more penetrating study will allow the reader to delve into the intrinsic essence of the work and to explore, in collaboration with the protagonist, a physical, emotional, and metaphysical itinerary that takes the narrator from his native Italy to the coast of Canada, to finally return to where he started: Italy, effecting a complete circle from the Old World to the New, concluding, as he started, in the Old. To have a broad vision of the migrant reality, Rimanelli chooses to make the journey to Canada as an immigrant even though he is not. He uses his family’s migrant reality as a model for the immigrant experience. In this way, he becomes a living witness to a particular society: the destitute refugee in search of a better life in America than the one he left behind.

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)0.001
metaresearch head score (Gemma)0.001
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: Other
Teacher disagreement score0.078
Threshold uncertainty score0.155

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.009
Scholarly communication0.0050.004
Open science0.0010.004
Research integrity0.0020.006
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 head0.055
GPT teacher head0.350
Teacher spread0.294 · 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
Published2025
Admission routes1
Has abstractyes

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