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Record W2040303245 · doi:10.2495/sdp-v2-n2-205-221

The new ‘faces’ of the European metropolis and their Greek version

2007· article· en· W2040303245 on OpenAlexvenueno aff
Byron Ioannou, Κ. Σερράος

Bibliographic record

VenueInternational Journal of Sustainable Development and Planning · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicUrbanization and City Planning
Canadian institutionsnot available
Fundersnot available
KeywordsArt

Abstract

fetched live from OpenAlex

The aim of this study is to present significant 'faces' characterizing the physiognomy of the contemporary Greek city as it is shaped or being shaped at the moment. In this context, the term 'city face' is used as an analytic tool, acknowledging that the image of the city is nothing less than the material and concrete expression of the really complicated, immaterial urban dynamics and trends. The main argument is whether the diverse 'faces' of the European metropolis are reproduced in the Greek city as well, simultaneously or with a delay; and whether the Greek city follows its own particular evolution, presenting similarities or differences from the European case. At a first step, corresponding views or aspects of urban image at the European or the global level are presented to create a wider reference framework. The European city 'faces' considered in this study are: gentrified city, multicultural city, sustainable city, virtual city, and the city of a special identity. The second step is to define dominant urban 'faces' for the Greek city as well: the historic city, the planned and designed city, the unplanned/ arbitrary city, the rural city, the marginalized city, the natural city, and the globalized city. Our analysis, summarizing the conclusions of recent research and studies, has shown that the revealed new 'faces' of the Greek city, although a result of widespread external dynamics, correspond to more or less common aspects of urban evolution; in fact, they are motivated by different agents and conditions in the Greek paradigm than in the European one. So the future evolution may be in some terms differentiated.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.512
Threshold uncertainty score0.393

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.014
GPT teacher head0.266
Teacher spread0.252 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations3
Published2007
Admission routes1
Has abstractyes

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