Helium-based modelling approach for studying thermal-induced airflows in street canyon
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
Non-isothermal phenomena in urban environment encounter considerable challenges, particularly in sub-scale implementations. When scaling down a realistic urban neighbourhood to a physical model in an appropriate size that is applicable for laboratory tests, achieving representative thermal boundary conditions often necessitates unrealistically high temperatures. To address this, a helium-based modelling approach is proposed as a cost-effective and safer alternative to traditional heating methods in wind tunnel experiments. By simulating buoyancy effects using helium, this method replicates thermal airflows, enabling the study of buoyancy-driven flow characteristics and heat distribution in urban spaces. A single street canyon model was employed to validate the similarity between hot air and helium within this framework. Preliminary results demonstrate the approach’s effectiveness and underscore its potential to advance urban environment research.
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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 | 0.000 |
| 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 | 0.001 |
| Open science | 0.001 | 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