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
This paper presents a strategy for scaling climate change adaptation within urban areas. The strategy specifically focuses on the requirements for mobilizing large amounts of capital for adaptation and other urban risk reduction above and beyond the amounts that will likely be mobilized through new international adaptation funds. The paper, based on a report published by ICLEI–Local Governments for Sustainability, ( 1 ) proposes a re-framing of the urban adaptation and disaster reduction challenge. The approach shifts the adaptation focus from risk reduction as a primary end in itself to a broader development focus on financing the performance of urban assets, areas and/or systems. This emphasis is elaborated through the concept of “resilience”, an urban design and investment metric that measures the ability of urban areas and their individual assets to perform for users and their investors under a wide range of conditions. The paper argues that such a performance-oriented approach provides a business logic that can attract conventional, private investment flows to climate and disaster risk reduction measures and thereby “mainstream” them.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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