Application of partial cross-section precast system to save the Amazon forest
Why this work is in the frame
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Bibliographic record
Abstract
The Brazilian civil construction industry is one of the largest consumers of wood in the country. The majority of wood is used as formwork to build concrete structures and is discarded at the end of the construction process. This study presents an innovative structural system that uses a type of partial cross-section precast system with thin reinforced concrete flat plates, which are transported and assembled at the construction site and act as permanent formwork with structural function. The major advantages of this system include the reduction of transport costs; easier assembly of the structural elements because of its low weight; and the possibility of idealizing and designing rigid connections between structural elements, improvement of the structural behavior and postive impact on the material economy. This paper presents construction details, tests results, and some real cases where partial cross-section beams and columns were successfully applied in Brazil.
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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) | 0.000 | 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 it