Bibliographic record
Abstract
Many specific environmental factors play important role in clarifying field of thermal comfort and thus environmental comfort.Among these factors, Designers pay attention to components that can becontrolled in field of design to improve comfort quality.Air temperature, humidity, radiation and wind speed are among indicators and environmental factors defining the boundaries of their comfort; the temperature and humidity factors cannot be raised except in special cases in design, but the radiation from the Sun and surface of Earth under name of "mean radiant temperature" (MRT) can be greatly influenced by design.Main goal of this study is to show effect of design solution on the control and modulation of comfort components.According to this research, field study is appropriate way to collect basic data and to test hypothesis.We conduct a research about Yazd in which habitation is not possible except in the light of intelligent design and utilization of natural resources and mitigation of region's harsh climate.Due to the diversity of urban spaces in the process, we restrict our study to residential house.We select Larry'shistorical house situated in old texture of Yazd City.Result analysis is performed by simulation and data calculation through valid climate index based on energy balance of human body in the form of predicted mean vote (PMV), physiological equivalent temperature (PET) and standard effective temperature.Comparing the data with data of Yazd synoptic station shows how effective is spatial structure in the microclimate conditions.Results of this study are representative of successful design solution in modulation of climatic conditions in people's accommodation during the hottest days of summer and the coldest days of winter in this region.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.944 | 0.935 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".