Policy Capacity and the Ability to Adapt to Climate Change:<scp>C</scp>anadian and<scp>U</scp>.<scp>S</scp>. Case Studies
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
Abstract This special issue contributes to extant empirical scholarship assessing governmental capacity to meet significant policy challenges, in this case those related to climate change adaptation. The study includes detailed examination of five policy sectors—finance, infrastructure, energy, forestry, and transportation—in two countries, C anada and the U nited S tates—in order to determine what kinds of governance arrangements and analytical capacities exist in this area, how they are changing (if at all), and how they interrelate with the status and evolution of climate change outcomes in each sector. The articles provide a comprehensive sampling of policy network structure and behavior, organizational mandates and resources, and actual job duties and training of policy actors across these sectors at both the federal and subnational level of government.
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 | 0.014 | 0.076 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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