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Record W4394803056 · doi:10.5406/23256672.100.3.05

<i>She does not go.</i> Immaginazioni geografiche al femminile in Pirandello

2023· article· it· W4394803056 on OpenAlexaff
Alessio Aletta

Bibliographic record

VenueItalica · 2023
Typearticle
Languageit
FieldArts and Humanities
TopicLiterature and Culture Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsHumanitiesNovellaArtLiterature

Abstract

fetched live from OpenAlex

Abstract Il contributo si focalizza sulla rappresentazione dell'immaginario spaziale femminile agli inizi del ‘900 offerta da Pirandello, indagando come le donne si rapportino—in concreto e in astratto—con un orizzonte geografico altro, come questa ‘immaginazione geografica’ sia utilizzata come strategia di evasione dalla clausura domestica, e quali meccanismi psicologici siano attivati dall'idea di allontanarsi dai luoghi familiari. L'analisi si concentra in particolare sul personaggio di Silia nel Giuoco delle parti, Marta Ajala nel romanzo L'esclusa, e sulle novelle “Il viaggio,” “Mondo di carta,” “Pubertà,” “Nell'albergo è morto un tale,” “L'altro figlio.” La fantasticheria geografica, evidente in alcuni dei più noti testi pirandelliani (si pensi alla novella “Il treno ha fischiato . . . ”), risulta forse ancor più presente nei personaggi femminili; al contrario, la prospettiva di un viaggio concreto tipicamente è vissuta dalle donne rappresentate da Pirandello non come un'opportunità di liberazione, ma come un vero e proprio trauma.

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)0.002
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: Other · Consensus signal: Other
Teacher disagreement score0.021
Threshold uncertainty score0.069

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.006
Scholarly communication0.0030.002
Open science0.0000.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0210.002

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 head0.021
GPT teacher head0.249
Teacher spread0.228 · 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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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