Towards carbon neutrality: Developing an assessment framework for villages
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
Addressing climate change requires both global cooperation and local action. Mountainous rural areas, with their significant carbon sink potential, play a crucial yet under-explored role in achieving carbon neutrality. However, it is not clear how far these villages are from carbon neutrality. This study proposes a novel carbon neutrality assessment framework specifically designed for mountainous villages, integrating carbon emission reduction, sink, and community engagement to assess and guide local carbon neutrality efforts. Case studies in Baizhang Town and its six surrounding villages showed that the town and four villages achieved carbon neutrality, illustrating the framework's effectiveness in reducing emissions and enhancing sink. Theoretical analysis further supports the framework by providing insights into its applicability and scalability for rural communities. The framework offers a practical tool for local communities to manage carbon emissions and implement sustainable practices. This framework can be adapted to other rural areas, offering a model for carbon neutrality efforts across diverse mountainous regions.
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 | 0.000 | 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