A casa tropical contemporânea: as estratégias de adequação da edificação ao clima
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
The tropical climate is one of the most comprehensive in the global territory, however, there are a number of practices in a context where there is a generalization of the typologies that respond to other climates. The exchange of information, which results in this scenario, is intensified by the growth of specialized websites, which has greater capacity for generating information and territorial reach than magazines and books. At archdaily.com of the 8892 single-family residential projects, published until the last quarter of 2017, only 511 are in the tropical climate. Therefore, it does not reach 6% of the total amount. In addition to the low representativeness of media projects, this does not mean that these are the right bioclimatic strategies. From this perspective, the present research deals with the study of strategies of adaptation to the climate of contemporary houses in the tropical climate, do this by the analysis of residential projects published in the website of the most popular architectural projects, Archdaily. This is done with the objective of understanding how the contemporary tropical house scenario is configured around the planet with respect to its climate adaptation strategies. The development of the research has 3 phases: preparation of the collect instrument, with identification of efforts in the literature; the collect of data in which projects behave as a measure in which only those that are in evidence are studied in depth; and an analysis of data from which one has the individual and comparative of the objects studied. In this research, of the 511 projects within the cut, 35 passed through the filters that express the concern to adapt the architecture to the climate and to expose it in its disclosure. These were in greater depth to meet all the requirements of this research. The results showed that there are characteristics that connect the projects, however, many of the most recurrent are not characteristics only of the study climate, making it difficult to identify a language of its own.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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