Subsystem Structures, Shifting Mandates and Policy Capacity: Assessing Canada’s Ability to Adapt to Climate Change
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
Adapting to climate change requires governments
 to design and implement policies capable of dealing with
 long-term problems. This poses significant policy design and
 implementation challenges since policies must also be multilevel
 and multi-sectoral in nature given the cross-sectoral
 and international character of climate change issues. Responsive
 policy-making on climate change issues thus requires
 both sophisticated policy analysis as well as an institutional
 structure which allows problems to be dealt with in
 a way which corresponds with changing organizational mandates,
 resources and network structures. Designing such
 policies requires matching policy analytical resources in
 relevant government departments and agencies with new
 and expanded mandates, a process which is not always necessarily
 successful. This introductory article presents the
 framework utilized in a collaborative study of climate change
 adaptation capacity in four Canadian policy sectors (agriculture,
 finance, infrastructure, and transportation) and one US
 case (the energy sector in Colorado). The study framework
 and subsequent analysis examine policy from a three-level
 perspective including (1) the macro nature of the subsystem
 involved, (2) the meso level of the organization or leadagency
 in charge of the issue and (3) the micro level nature
 of policy work being undertaken in each sector.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| 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