Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Urban sprawl in Latin America is described as one of the major problems of ‘the growth machine’. As a reaction, most planning policies are based on anti-sprawl narratives, while in practice, urban sprawl has been thoroughly consolidated by all tiers of government. In this paper – and using the capital city of Chile, Santiago, as a case study – we challenge these anti-sprawl politics in light of the emerging environmental values and associated meanings of the interstitial spaces resulting from land fragmentation in contexts of urban sprawl. Looking at the interstitial spaces that lie between developments becomes relevant in understanding urban sprawl, considering that significant attention has been paid to the impact of the built-up space that defines the urban character of cities and their governance arrangements. We propose that looking at Santiago’s urban sprawl from the interstitial spaces may contribute to the creation of more sustainable sprawling landscapes and inspire modernisations beyond anti-sprawl policies. Finally, it is suggested that a more sustainable urban development of city regions might include the environmental values of suburban interstices and consider them as assets for the creation of more comprehensive planning and policy responses to urban sprawl.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.003 | 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 it