Bibliographic record
Abstract
Within Buenos Aires there exists a boundary between the formal, planned developments of the middle class and the informal, organically-developed self-built housing of the poor. Villa 31, an informal settlement located near the heart of the city, contrasts directly with the skyscrapers of the Argentinean capital’s financial and political centre. The tension between the formal and informal cities creates a stigmatization of the residents of Villa 31, essentially barring the possibility of its integration into the city. The boundary between Villa 31 and Buenos Aires exists not only in the physical space between the two, but more importantly in the collective imagination of the city’s inhabitants. \n \nThis is a story of the space between Villa 31 and Buenos Aires. It chronicles the attempts at crossing that boundary and the obstacles encountered. As a means of presenting the work to a broad audience, the story was written as a comic book. The first-person narrative helps to immerse the reader in the story while presenting the full complexity of the problem through a personal account. The story reveals the complex relationship between Villa 31 and Buenos Aires as a means of understanding the invisible boundary between the two. \n \nThe core of the research consists of two months of field work in Buenos Aires conducted through October and November of 2009. Journal entries, photographs, conversations and first-hand experiences were transformed into a comic book that tells a story of the invisible boundary between Villa 31 and Buenos Aires.
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 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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.017 |
| Scholarly communication | 0.014 | 0.012 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.070 | 0.012 |
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".