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Record W3091782800 · doi:10.33137/q.i..v39i1.32657

Divergenze in celluloide. Colore, migrazione e identità nei film gay di Ferzan Özpetek

2019· article· it· W3091782800 on OpenAlexvenueno aff
Ryan Calabretta‐Sajder, Maurizio Scontrino

Bibliographic record

VenueQuaderni d italianistica · 2019
Typearticle
Languageit
FieldSocial Sciences
TopicItalian Fascism and Post-war Society
Canadian institutionsnot available
Fundersnot available
KeywordsArtHumanities

Abstract

fetched live from OpenAlex

Recensioni / Book Reviews / Revues des Livres -259 -it.Of course, it is not surprising that these might be the topics most covered, given the era in which many of these stories were produced and the awe-striking views of nature that characterize this specific region.The nineteenth century, after all, is also the era of Romanticism and the exaltation of the sublime.Additionally, the work would have benefited from even just a small section on the history of the Pro Grigioni Italiano, as it would have helped the reader understand the context from which this collection emerges and why.The publication brings to the forefront an issue dear to many Italian speakers within the Confederation.The Pro Grigioni Italiano association emerges in an era in which the Swiss felt the need to defend and strengthen their national and local identities.As a minority community, Italian speakers today still feel this need particularly strongly, especially considering the eminence of Swiss-German and the continuously rising importance of English not only in the media, but also in the workplace and in academia, trends that appear as Italian at times struggles to stay relevant within the Confederation and within the Grisons themselves.Conrad and her team present a carefully selected array of testimonies of a region that has much to offer.Their efforts reveal their keen eye and passion for the Italian-speaking valleys.They provide readers with a clear and concise introduction, as well as an elegant appendix detailing the biographies of the authors.Overall, the collection shines through as an effort at unveiling a new side of this region's global relevance.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.004
Scholarly communication0.0050.002
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.002

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 head0.020
GPT teacher head0.270
Teacher spread0.250 · 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 designQualitative
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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