Bibliographic record
Abstract
Home to 1.3 million inhabitants, the city of Montevideo, the capital of Uruguay, sits in a natural harbour with one of the most important ports of the region. The growth of the city follows in the last fifty years the deregulation of the housing market, and neoliberal urban policies, which create two phenomena: on one hand the gentrification and the abandon of central areas by the population and on the other hand the informal land occupations and self-construction initiatives in peripheries. In the last ten years social movements for the right of the city make pressure to make the government of the city understand the need to promote the replacement or recycling of empty buildings in traditionally central areas with public policies of social uses and housing. In 2019 was launched Reactor Ciudad Vieja an urban laboratory, guided by the applied research group in Participative and Affective Urbanism of the Faculty of Architecture, Design and Urbanism, in collaboration with the Program Empty Buildings of the Municipality of Montevideo. The laboratory aims to recover empty buildings transforming them into urban commons in the historic centre by participative processes among social movements, neighbours, university, and public offices. The results of the planning process were an Initial Agenda with proposals for the uses of the empty buildings, as well as the co-design and build of a pilot experience in a historic building. The process also accounts for the relevance of innovation in the associate management of the pilot experience among civil society and the Municipality of Montevideo. This experience confirms the relevance of the internationally recognized participatory methods in design and planning, which includes locating oneself in a particular context, thinking the habitat construction in an integrative way, starting from local histories and affections, proposing creativity in the methods to make social movements organization emerge and produce innovative results in terms of material and immaterial quality and redistribution of responsibilities in implementation and management of civic uses in the city.
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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 | 0.002 |
| 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 | 0.017 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".