Together we make the neighbourhood
Bibliographic record
Abstract
A network of various self-managed community spaces played a crucial role in the citizen-led response to the social crisis during the first months of the COVID-19 crisis in the most vulnerable neighbourhoods in the periphery of Madrid. Nevertheless, such community spaces are under a precarious situation due to recurrent threats of closure from different administrations. It is therefore crucial to make visible the importance posed by such spaces in the construction of more resilient, equitable, and caring neighbourhoods. To that end, we propose the definition of a theoretical model of critical placemaking to understand how such grassroots practices are underlaid by a collective project of neighbourhood. The research fills the gap within different theories of placemaking, social innovation, and urban commons to establish a model based on the three axes: community, space, and political project. The study draws from the notions of relational place and civic engagement, together with models of space appropriation and social innovation theory. The theoretical model is contrasted with the qualitative research of the cases of social centres La Villana de Vallekas and Eko de Carabanchel . The results suggest an emergent city model at the neighbourhood scale of proximity self-managed citizen-led infrastructure that configures a resilient network against systemic and external threats.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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.
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 teacher head, 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".