Assessment of Ancient Fridges: A Sustainable Method to Storage Ice in Hot-Arid Climates
Bibliographic record
Abstract
This article is an attempt to introducing ancient fridges as sustainable method to store ice in hot-arid Climates. Architectural heritages are considered as fundamental issue in the life of contemporaryworld.Hence, researches around this category despite of historical interest attractscientific scopesto providesustainable society through tourism industry and green architecture. In this paper among different Iranian heritage buildings, ancient fridges, or Pachal (in Persian), has been analyzed. Because of great importance of water and especially cold water in hot-arid climates, Hundreds of Pachals have built in central plateau of Iran. The interpretive technique has been applied to assessment ancient fridges. In addition, observation as a part of the authors` field work, and Historical documentsconcerning the traditional buildings built techniques and the architectural heritage of the Iraniantraditional fridges, are another part of this research. This article is atry to indicate that vernacular architecture of “Pachals” are very responsible monuments to fit the hard-life situation of hot-arid climates in ancient world.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".