Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".