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Record W7014909199

Regine e viaggiatrici ai Bagni di Lucca 1800-1900

2012· article· it· W7014909199 on OpenAlexaboutno aff

Bibliographic record

VenueElectronic Theses and Dissertations Repository (University of Pisa) · 2012
Typearticle
Languageit
FieldSocial Sciences
TopicHistorical and Environmental Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPeriod (music)ExpansiveQuarter (Canadian coin)
DOInot available

Abstract

fetched live from OpenAlex

Alla prima metà dell’Ottocento, durante il Principato dei Baciocchi, con Elisa, iniziò per Bagni di Lucca un rapido processo di sviluppo e di trasformazione che, nel corso dei primi decenni del secolo, avrebbe portato a farne non solo un luogo quasi esclusivamente di cura, ma anche centro internazionale di soggiorno. Dopo la sconfitta napoleonica e grazie al Congresso di Vienna, lo Stato di Lucca fu assegnato in via provvisoria a Maria Luisa di Borbone. Anche Maria Luisa, come Elisa, scelse come luogo di villeggiatura per i mesi estivi Bagni di Lucca e si prodigò per lo sviluppo, così che aumentò la sua fama come luogo di soggiorno elegante. Carlo Lodovico, subentrato alla madre nel 1824, volle dedicare a Bagni di Lucca particolari cure, in particolare concesse alla comunità inglese la realizzazione della chiesa e del cimitero anglicano. Inoltre, è grazie al Duca che fu costruito il primo casino di Europa nella cittadina termale. Le viaggiatrici e poetesse, in particolar modo: Elisabeth Stisted, Elisabeth Barret, Rose Cleveland, Evangeline Whipple , Ouida, hanno influenzato notevolmente lo sviluppo di Bagni di Lucca grazie alle loro opere di carità e ai loro manoscritti.

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)0.001
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.048
Threshold uncertainty score0.162

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.003
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0480.020

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 head0.008
GPT teacher head0.216
Teacher spread0.208 · 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
Published2012
Admission routes1
Has abstractyes

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