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Record W3093109336 · doi:10.33137/q.i..v38i2.32232

What a Difference a Sea Makes in the <i>Decameron</i>: The Mediterranean, a Structural Space of the Novella

2019· article· en· W3093109336 on OpenAlexvenueno aff
Roberta Morosini

Bibliographic record

VenueQuaderni d italianistica · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicRenaissance and Early Modern Studies
Canadian institutionsnot available
Fundersnot available
KeywordsNovellaReading (process)PoeticsMediterranean climateNarrativeSpace (punctuation)Identity (music)LiteratureHistoryArtAestheticsPhilosophyPoetryLinguisticsArchaeology

Abstract

fetched live from OpenAlex

This essay presents a reading of the Mediterranean sea as a narrative space in the Decameron. Through a reading of text and images, the paper illustrates the categories of mobile/static and foreign/domestic at work in the Decameron. It also introduces a third epistemological category, hybridity, at the centre of this study, which aims to establish the role and function of the Mediterranean in the fabula—the plot development—as well as in the structure of the novella itself, and ultimately in Boccaccio’s poetics. Is the Mediterranean a “structural space” in (and of) the novella, hence in/of the Decameron? Does it make and forge “experiences” of women of different religions (and social origins) that differ from the experiences of men in the Medieval Mediterranean? The article proposes different cases of women travelling in the Decameron and discusses the paralysis and diaspora of women’s identity in the hybrid space of mobile Mediterranean, a foreign space of immobilization and dangers.

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: Empirical · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.016

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 studies0.0040.016
Scholarly communication0.0050.004
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.038
GPT teacher head0.248
Teacher spread0.210 · 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".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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