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Record W2916665033 · doi:10.5070/c382037091

What Did Annarella See? “Il bisogno di conoscere con ogni medium” and the Hermeneutics of the Gaze in Carlo Damasco’s “Un paio di occhiali”

2019· article· it· W2916665033 on OpenAlexaff
Cristina Della Coletta

Bibliographic record

VenueCalifornia Italian Studies · 2019
Typearticle
Languageit
FieldArts and Humanities
TopicItalian Literature and Culture
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsTrope (literature)GazeHermeneuticsAdaptation (eye)ArtHumanitiesArt historyLiteraturePhilosophyPsychoanalysisTheologyPsychologyPhysicsOptics

Abstract

fetched live from OpenAlex

"What did Annarella See?"analyzes Carlo Damasco's cinematic adaptation of Anna Maria Ortese's short story "Un paio di occhiali" and argues that the trope of the "insopportabilita' della realta'" constitutes the connective tissue between Ortese's story and Damasco's film. This trope generates different options of "being in the world" for Eugenia and Annarella, the respective protagonists of short story and film. it is upon this contextualized and historicized notion of "being in the world" that Damasco's adaptation generates a powerful reflection of Ortese's estranged and estranging gaze, and the revolutionalty, if veiled, knowledge it envisioned.

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)0.003
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 score0.033
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.022
Scholarly communication0.0070.004
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.016
GPT teacher head0.227
Teacher spread0.211 · 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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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