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Record W7037364064

ECLAS Conference 2017

2017· article· en· W7037364064 on OpenAlexaboutno aff

Bibliographic record

VenueRepositório da Universidade de Lisboa (University of Lisbon) · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMediterranean and Iberian flora and fauna
Canadian institutionsnot available
Fundersnot available
KeywordsUrban agglomerationUrban planningQuarter (Canadian coin)Period (music)Function (biology)Property (philosophy)Space (punctuation)Land use
DOInot available

Abstract

fetched live from 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.

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)0.003
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.494
Threshold uncertainty score0.722

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0030.001
Scholarly communication0.0120.005
Open science0.0020.006
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.4940.437

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 head0.043
GPT teacher head0.213
Teacher spread0.170 · 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.

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
Published2017
Admission routes1
Has abstractyes

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