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Record W7070343317

"Parole per una citta". Dall’incendio dello Chiado all’Expo 98 [“Words for a City”. From the Chiado Fire to the Expo 98]

2019· article· it· W7070343317 on OpenAlexaboutno aff

Bibliographic record

VenueInstitutional Research Information System University of Ferrara (University of Ferrara) · 2019
Typearticle
Languageit
FieldArts and Humanities
TopicCultural Identity and Heritage
Canadian institutionsnot available
Fundersnot available
KeywordsNova scotiaNational monumentProcess (computing)
DOInot available

Abstract

fetched live from OpenAlex

“Parole per una città” ripercorre le principali trasformazioni architettoniche e urbane avvenute negli ultimi tre decenni a Lisbona, muovendo dalla ricostruzione dello Chiado successiva all’incendio del 1988 e dalla lungimirante gestione dell’Expo98. Vere occasioni d’innesco del processo di “resurrezione” della capitale portoghese, i due interventi sono stati un “modello” di rigenerazione dello spazio pubblico oggetto di continua interpretazione, nelle parti più antiche e storicamente consolidate del centro della città come in quelle della fascia del lungo Tago, modellate in maniera anomala quanto incompleta nel secolo scorso da numerose infrastrutture industriali. Nella visione unitaria che governa processi condotti in ambiti così differenti è possibile ravvisare una maniera affatto portoghese di affrontare la scala urbana attraverso il progetto di architettura, il quale pur se puntualmente concentrato in un’area definita è pensato nella sua relazione con il tutto – la città – e con il tempo del suo farsi, in un processo di mutamento in cui la vera sfida è la preservazione dello spirito della città.

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: Empirical · Consensus signal: none
Teacher disagreement score0.077
Threshold uncertainty score0.152

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.008
Scholarly communication0.0080.004
Open science0.0010.003
Research integrity0.0040.009
Insufficient payload (model declined to judge)0.0320.008

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 head0.089
GPT teacher head0.270
Teacher spread0.181 · 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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