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Record W1643901501 · doi:10.33137/q.i..v29i1.8498

La memoria, la traccia e la funzione del narratore in "Ritorno sul Don" di Mario Rigoni Stern

2008· article· it· W1643901501 on OpenAlex
Gianluca Cinelli

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueQuaderni d italianistica · 2008
Typearticle
Languageit
FieldPsychology
TopicMemory, Trauma, and Testimony
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtSternHistory

Abstract

fetched live from OpenAlex

L'esperienza della guerra combattuta in Russia nel 1942-1943 è centrale nell'opera di Mario Rigoni Stern. In questo articolo l'attenzione si concentra sul racconto "Ritorno sul Don" (1973) in cui lo scrittore, narrando il viaggio compiuto all'inizio degli anni Settanta sui luoghi dove aveva combattuto, scopre l'importanza delle tracce in cui il passato si incide nel paesaggio e nella memoria. In riferimento a un'osservazione di Paul Ricoeur, e soprattutto alla filosofia nietzschiana dell'eterno ritorno, sarà interpretato il modo in cui la traccia fonda qui la testimonianza di un passato che il narratore vivifica come verità celata sotto l'apparenza del presente, mostrando la morte come il confine metaforico oltre il quale l'esperienza diventa racconto, memoria e testimonianza.

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.

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 categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.344
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0150.008

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 head0.038
GPT teacher head0.295
Teacher spread0.257 · 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