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ECLAS Conference 2017

2017· article· en· W7037364064 sur OpenAlexaboutno aff

Notice bibliographique

RevueRepositório da Universidade de Lisboa (University of Lisbon) · 2017
Typearticle
Langueen
DomaineAgricultural and Biological Sciences
ThématiqueMediterranean and Iberian flora and fauna
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésUrban agglomerationUrban planningQuarter (Canadian coin)Period (music)Function (biology)Property (philosophy)Space (punctuation)Land use
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

The growth of contemporary cities has been accompanied by the appearance of forgotten and abandoned spaces, as well as derelict structures that are part of a broad category of neglected and unoccupied spaces within cities. This situation which arises for economic reasons, property speculation, and the consequent expansion of the suburbs has become an important topic, as can be seen from the international bibliographical review about the “reuse” of vacant land and derelict structures in cities. Traditionally urban planning dealt with growth which was the centre of attention. Modern urban planning arose in the 19th century associated with the need to find suitable housing for a growing urban population, and it retained this function over almost the entire 20th century. Although during that period there were some ruins that urban planners had to cope with, such destruction was occasional and scattered, linked to cataclysms or other exceptional circumstances. In the final quarter of the 20th century urban planners were faced with situations that had been unknown in the lives of cities. Suddenly they found that not only the central areas of agglomerations but also entire urban regions were losing residents and businesses instead of growing. These “perforated/random” abandoned or vacant spaces are a potential challenge when it comes to assigning them new “functions”. Most of these spaces house ecological formations. Some are the remnants of gardens or derelict green structures that survive over time and very often also perform a social role, but usually underperform. This study seeks to raise awareness of the aesthetic, functional and ecological qualities that these abandoned spaces can bring to a city and discuss ways of integrating them into the urban landscape that go beyond the conventional urban restoration models but rather represent alternative intervention solutions that may be applied permanently or temporarily. The refurbishing or reorganising of these spaces will strength the urban ecological structure in addition to providing green spaces and so contribute to the promotion and preservation of biodiversity, urban resilience and risk mitigation. The study presented here is part of the NoVOID Project – “Ruins and vacant lands in Portuguese cities: exploring hidden life in urban derelicts and alternative planning proposals for the perforated city”, funded by the FCT and which is based on the identifying and classifying of the main vacant and derelict urban spaces (ruined buildings and public places, vacant plots and abandoned or suspended projects) and assigning them an occupation in line with the new trends and sensitivities of architecture, landscape architecture and other specialist fields. The project, based on genuine situations in the Portuguese cities of Lisbon and Barreiro, seeks to contribute to sustainable urban and landscape proposals, of a temporary or permanent nature, that enhance their potential functional, ecological and aesthetic role and, in some cases, are an alternative to the conventional models of urban landscape restoration.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,743
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0000,001
Science ouverte0,0010,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,043
Tête enseignante GPT0,213
Écart entre enseignants0,170 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2017
Routes d'admission1
Résumé présentoui

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