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 global cooling demand is expected to grow substantially during the 21st century. Apart from the increasing temperatures due to climate change, this demand will also be driven by a set of demographic characteristics, including population growth, urbanization, increasing incomes, social policies and commitments, and improved access to electricity. Indeed, space cooling demand could increase by 300% globally by 2050 and is concentrated in the hotter regions of the world with growing populations and incomes. However, this demand will likely contribute to its own growth if delivered along conventional patterns, significantly increasing GHG emissions due to high energy consumption as well as leakage of refrigerants, and hence compromising many of our economic, environmental, social, and political goals, targets, and commitments. This paper presents a system-level approach to cooling provision in buildings and urban environments, while also highlighting the need for a holistic consideration of the cooling demand across other sectors (e.g., transport), to ensure sustainability and resilience throughout the life cycle of buildings and wider infrastructure. It aims to drive a new system level thinking in key areas - how we mitigate, make, store, move, manage, finance, and regulate cold - to meet current and future cooling needs efficiently, sustainably, and affordably, while building resilience in line with the ambitions of the Paris Agreement, the Kigali Amendment to the Montreal Protocol, and the UN Sustainable Development Goals.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.609 | 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