Shifting Mandates and Climate Change Policy Capacity: The Forestry Case
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 original hypothesis is that forests will be a
 policy subsector in which the challenges of climate change
 adaptation lead to broader policy mandates but that the
 declining role of the industry in the Canadian economy will
 cause departmental resources to be stable or decreasing. The
 result will be ineffective policy capacity, leading to adaptation
 policies that are poorly designed, incomplete or missing
 altogether. This paper provides some evidence to support
 this hypothesis, though the situation is complicated by the
 dominant role played by the provinces in both ownership
 and jurisdiction. While the leading federal department,
 Natural Resources Canada, has shed other mandates to focus
 on climate change, provincial agencies are already caught
 between the added costs of addressing climate change impacts,
 notably wildfire, and the need to plan for and implement
 long term adaptive policies with stable or declining
 resources. Much will depend on coordination between First
 Nations, the provinces and the federal government in a
 policy subsector with a history of conflict between the different
 orders 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 | 0.002 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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