Improving Renewable Energy Governance: Insights from Low-Carbon Investment Community Stakeholders
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
Social and economic infrastructure are integral to maintaining a society’s quality of life. Infrastructure remains one of the few topics for which unanimous political support seems plausible, and every year, approximately $2.7 trillion are spent worldwide on infrastructure projects such as ports and bridges (Authers, 2015). Yet this seemingly enormous sum masks an infrastructure expenditure gap (i.e., the difference between what is spent and what should be spent) of at least $1 trillion per year — a number which may grow in the coming years. This is due to ongoing contributors such as exploding population and economic growth in emerging markets, historical underinvestment in infrastructure, and misalignment of the interests and needs of the private sector, the public sector, and civil society in infrastructure-related decisions (Authers, 2015)…
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| 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