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Combinare globalismo, futuro a lungo termine e sensibilità storiche: L’audacia di Constantinos Doxiadis

2023· article· it· W4399977499 on OpenAlexaboutno aff
Ray Bromley

Bibliographic record

VenueFAMagazine Ricerche e progetti sull architettura e la città · 2023
Typearticle
Languageit
FieldEconomics, Econometrics and Finance
TopicDiverse academic and cultural studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Constantinos Doxiadis ha dedicato gran parte della sua vita alla pianificazione urbana e regionale. Il suo lavoro era globalizzato, futuristico e straordinariamente ambizioso, eppure era affascinato dai contesti locali, dalla storia e dalle civiltà antiche. La Doxiadis Associates, la società di consulenza internazionale con sede ad Atene da lui fondata a metà degli anni ‘50, ha portato a termine progetti in oltre 40 paesi. Il suo movimento Ekistics aveva soci in tutto il mondo e ha attirato migliaia di studenti e partecipanti alle conferenze in Grecia. Dopo una malattia di quattro anni, morì un anno prima della prima Conferenza delle Nazioni Unite sull’habitat, tenutasi a Vancouver nell’estate del 1976, ma concluse il suo prolifico record di pubblicazioni con quattro libri da presentare alla conferenza.

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)0.002
metaresearch head score (Gemma)0.004
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 score0.020
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0020.014
Scholarly communication0.0100.007
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.001

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 head0.038
GPT teacher head0.252
Teacher spread0.214 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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