Bibliographic record
Abstract
The world economy has detonated processes of re-territorialization in Latin American cities to favor their aspirations to be distinguished as global cities. The economical dynamics of globalization emerging from their public politics have increased social inequalities having their manifestations on one hand, in economical polarization of the urban area and on the other, in the gentrification and increasing social segmentation and fragmentation of the urban area. The result has been a new, socio-economically and culturally shattered geography of centrality and marginality with frictions between them having their manifestations in ourbreaks of contesting non-institutional creative and artistic practices of local communities and urban tribes, among them projects of art in the street and street art. These creative practices have been used by local urban communities as manifestations of civil resistance to denounce their marginalized situation and to demand major visibility in local public politics. In the framework of global creative economy thus, these illegitimate creative practices have been threatened by public politics favoring creative industries to convert them to new innovative cultural goods and services to impulse the production of aggregated value and through it, neutralize their contesting character. Thus, this paper analyses the cases of urban muralism in Xanenetla, Puebla, and street art in Cholula, Puebla, in order to study the impact of the dynamics of globalized economy on the local contesting culture and art as a fragmenting urban force.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.020 | 0.043 |
| Scholarly communication | 0.013 | 0.005 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".