Seeing through Satellites, Streets and Stories: Assessing Nature-Based Solutions in the Santa Rosa-Silang Watershed, Philippines
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 effectiveness of Nature-Based Solutions (NBS) in rapidly urbanizing cities in the Global South remains underexplored (Pusks et al., 2021;Wolff et al., 2022), particularly in emerging cities where unchecked growth, fragmented governance, and limited institutional capacity exacerbate vulnerability to climate risks and environmental degradation (Adelina et al., 2021;Yasmin et al., 2023).NBS can mitigate flooding, water scarcity and heat island effects, while also providing critical ecological benefits like habitat restoration, pollution reduction, and enhanced biodiversity -when implemented with careful attention to local contexts.Yet, in many Global South contexts effective NBS planning is complicated when external climate finance and expertise overshadows local priorities and, as a consequence, may exacerbate inequalities (Sharma et al.,
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 | 0.000 | 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 | 0.001 | 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