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Record W2409727996 · doi:10.3390/h5020042

Re-discovering Alessandro Spina’s Transculture/ality in The Young Maronite

2016· article· en· W2409727996 on OpenAlexaff
Arianna Dagnino

Bibliographic record

VenueHumanities · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicTranslation Studies and Practices
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsColonialismHistoryLiteratureArtArchaeology

Abstract

fetched live from OpenAlex

Alessandro Spina, né Basili Shafik Khouzam, was born in Benghazi in 1927 into a family of Maronites from Aleppo and spent most of his life between Libya and Italy, speaking several languages and writing in Italian. He may be described as the “unsung” writer of Italian colonial and post-colonial past in North Africa. Spina’s oeuvre—collected in an omnibus edition, I confini dell’ombra. In terra d’oltremare (Morcelliana)—charts the history of Libya from 1911, when Italy invaded the Ottoman province, to 1966, when the country witnessed the economic boom sparked by the petrodollars. The cycle was awarded the Premio Bagutta, Italy’s highest literary accolade. In 2015, Darf Press published in English the first instalment of Spina’s opus with the title The Confines of the Shadows. In Lands Overseas. Spina always refused to be pigeonholed in some literary category and to be labeled as a colonial or postcolonial author. As a matter of fact, his works go beyond the spatial and imaginary boundaries of a given state or genre, emphasizing instead the mixing and collision of languages, cultures, identities, and forms of writing. Reading and re-discovering Spina in a transcultural mode brings to light the striking newness of his literary efforts, in which transnational lived life, creative imagination, and transcultural sensibility are inextricably interlaced.

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)0.003
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 score0.016
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0160.018
Scholarly communication0.0120.005
Open science0.0010.006
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0050.001

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 head0.108
GPT teacher head0.277
Teacher spread0.169 · 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

Citations8
Published2016
Admission routes1
Has abstractyes

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