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Record W3047603153 · doi:10.3390/urbansci4030035

Culture-Led Urban Development vs. Capital-Led Colonization of Urban Space: Savamala—End of Story?

2020· article· en· W3047603153 on OpenAlexaboutno aff
Nikola Jocić

Bibliographic record

VenueUrban Science · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicUrbanization and City Planning
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)PoliticsCapital (architecture)Power (physics)Urban planningPublic spaceCapital cityHistoryGeographyPolitical scienceEconomic growthEconomic historyEconomic geographyAncient historyEngineeringArchaeologyCivil engineeringEconomicsLaw

Abstract

fetched live from OpenAlex

The city quarter of Savamala, as an integral part of Belgrade, has had a very turbulent development path during the last two centuries. This path included several ups and downs, and culminated in tension over the last decade. Savamala fell into silent oblivion in the 20th century, but succeeded in re-emerging into the focus of the public and interest groups, mainly due to the cultural milieu that developed in this area at the beginning of the 21st century. The cultural vibes of the city quarter attracted various urban actors, who created a new image of Savamala. Eventually, cultural functions started to fade; however, after several years and through vague political decisions, Savamala became the part of the largest construction site in Belgrade, the Belgrade Waterfront. This article highlights the development of Savamala in the 2010s—from a forgotten city quarter to a rising cultural quarter and finally to the ’future centre of the city’. This analysis shows the participation of different stakeholders at different stages of development (their influence, power levels, and the mechanisms they used), as well as the footprints that urban development left in the quarter.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.070
Threshold uncertainty score0.139

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.017
Scholarly communication0.0110.007
Open science0.0010.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.018
GPT teacher head0.260
Teacher spread0.242 · 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 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

Citations15
Published2020
Admission routes1
Has abstractyes

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