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Record W7042225808

Pavimentazione storica dello spazio urbano sull'esempio della Piazza dei Cavalieri di Pisa

2003· book· it· W7042225808 on OpenAlexaboutno aff

Bibliographic record

VenueCINECA IRIS Institutial research information system (University of Pisa) · 2003
Typebook
Languageit
FieldArts and Humanities
TopicArchitecture and Art History Studies
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)History of technologySilicon valley
DOInot available

Abstract

fetched live from OpenAlex

La pubblicazione è il risultato finale della ricerca documentaria relativa alle vicende storiche della pavimentazione di questa piazza pisana, svolta negli anni 2001-2002. Nel breve saggio riassuntivo si cerca di dare un’interpretazione ipotetica dell’idea progettuale cinquecentesca della “quinta orizzontale” e del ruolo da essa svolto nella visione prospettica del sito scenografico. Considerando l’ampia esperienza vasariana negli apparati per le feste, si ipotizza che nella visione scenografica della Piazza dei Cavalieri, il Vasari non potesse ignorare la definizione della quinta orizzontale a garanzia dell’unità dell’impaginato di questa piazza-salone. Vengono \nesaminate le cause della mancata realizzazione e si indaga sugli interventi compiuti nell’arco di tre secoli, inquadrando il problema nel contesto del sistema urbano. Si affrontano aspetti attinenti alle competenze sui lastrici, le problematiche tecniche e tecnologiche ( tra cui i metodi, i materiali e loro provenienza), funzionali ed estetiche.

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: Other · Consensus signal: Other
Teacher disagreement score0.048
Threshold uncertainty score0.159

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0020.002
Scholarly communication0.0060.003
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0480.004

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 head0.073
GPT teacher head0.257
Teacher spread0.184 · 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".

Quick stats

Citations0
Published2003
Admission routes1
Has abstractyes

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