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Record W4399104287 · doi:10.1177/00420980241249421

Places to be young: The dispossession of public space in Old Havana

2024· article· en· W4399104287 on OpenAlexfundno aff
Joanna Kocsis

Bibliographic record

VenueUrban Studies · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicUrbanization and City Planning
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaInternational Development Research Centre
KeywordsPublic spaceSpace (punctuation)Economic geographyPolitical scienceSociologyGeographyArchitectural engineeringEngineeringComputer science

Abstract

fetched live from OpenAlex

The touristification of Old Havana is resulting in unique patterns of gentrification that rely on a new spatial imaginary, the enforcement of which is resulting in the loss of places for residents to be young. The Cuban state's preservation of significant proportions of social housing as part of its investments in the heritage tourism industry is disrupting common housing-led displacement in the city. The neighbourhood's economic transition is concentrated instead in public spaces, as squares and streets are taken over by new tourist-serving businesses. This process of enclosure dispossesses locals of both public and private leisure spaces, as the cost of consumption in said businesses is beyond the purchasing power afforded by Cuban salaries. The dispossession of public space is particularly problematic for local youth who, given the persistence and pervasiveness of Havana's housing crisis, spend the majority of their free time in streets and squares. This displacement of youth reinforces existing patterns of exclusion and discrimination along lines of race, class and gender. Given the particular value of public space for youth development in communities like Old Havana, this article documents the three main processes through which young people are being displaced from or dispossessed of urban public space in their neighbourhood, enclosure, sanitisation and temporary appropriation, and discusses the impacts on young peoples' place-related identity.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.466
Threshold uncertainty score0.639

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.111
GPT teacher head0.375
Teacher spread0.265 · 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 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

Citations3
Published2024
Admission routes1
Has abstractyes

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