Chimeneas en el monte. Estrategias para la ubicación de ingenios azucareros ‘olvidados’ en el espacio rural de Tucumán (Argentina)
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
During the 19th century, sugarcane cultivation and processing became increasingly important in the province of Tucumán (Argentina). In the last quarter of that century, the activity expanded through the modernization of numerous pre-industrial sugar mills and the foundation of new ones. As a result, the agro-industrial structure was modified, with more than thirty modern manufacturing units distributed in the outskirts of the capital city, in the center-south of the province and, particularly, in the lands of the east, today Cruz Alta. In this process, several business initiatives did not have continuity and numerous mills of different scales and technologies closed their doors. In most cases, their geographical location and trajectories are known. But there are a good number of sugar mills that, for several reasons, have been forgotten, and their existence is almost unknown. As a result, this paper explores the alternatives offered by different sources for their location, the obstacles, the methodological strategies implemented, and the discovery of the material remains of four practically unknown sugar mills in the rural área of Tucumán.
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 | 0.014 | 0.015 |
| Meta-epidemiology (narrow) | 0.006 | 0.007 |
| Meta-epidemiology (broad) | 0.008 | 0.005 |
| Bibliometrics | 0.003 | 0.016 |
| Science and technology studies | 0.008 | 0.010 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.008 | 0.004 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 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 it