Clean Technology Transfer and Innovation in Social Housing Production in Brazil and Colombia. A Framework from a Systematic Review
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
Over recent years in Brazil and Colombia, the social housing programs of these two countries have increasingly become directly related to the concept of green construction and seek to integrate with their respective laws. For example, a series of technological strategies allows bought countries to guarantee a reduction of the environmental impact of traditional construction technologies. Therefore, these actions try to answer the problems in the design of dwellings in Latin America. However, the construction sector reduced productivity and limited innovation in business. Some of the technological management processes in the social housing construction sector only consider the implementation of clean technologies tangentially. This situation is mainly because of general policies since they do not consider different local contexts. It is then worth asking: What impact do the processes of transfer of clean technologies have on social housing in Brazil and Colombia? This systematic review was carried out on scientific papers indexed by the science database from 2013 to 2019. The PRISMA method was applied to this review with an aim to propose a conceptual model for the transfer of clean technology in the production of social housing in Brazil and Colombia. Finally, we identify that the impact of clean technologies transfer on social housing is very low in these two countries.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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