Bibliographic record
Abstract
Climate change represents a vexing challenge for infrastructure design. There is increasingly widespread acknowledgement that design practices need to change in order to ensure that structures built today can withstand changes in average climate conditions, growing climate variability, and more frequent and extreme weather events over the coming decades. Yet substantial uncertainty persists with respect to the specific future conditions that structures should be designed for, leading to regulatory paralysis: despite the need for urgent action, regulation continues to require that infrastructure design be based on the assumption that past climate will be representative of future climate. This thesis argues that, in the face of this bedevilling combination of urgency and uncertainty, government regulation will be required to generate the changes in design practices needed to ensure that structures designed today will be resilient and robust to the climate impacts they are likely to confront over their lifetimes. Using the example of the National Building Code of Canada, this thesis identifies several stress points in existing regulatory frameworks for infrastructure design. In particular, this thesis demonstrates that existing methods for dealing with uncertainty in infrastructure design regulation are likely to be overwhelmed by the deep uncertainties surrounding climate change, and that the poor adaptive capacity of existing frameworks renders them unable to keep pace with the increasingly rapid pace of change. Responding appropriately and proactively to these challenges demands a new regulatory paradigm. This regulatory paradigm should draw guidance from new governance theory in the legal scholarship, as well as a range of ‘adaptive’ approaches developed in other disciplines — adaptive management, adaptive governance, and adaptive policymaking. The core of a new, adaptive regulatory paradigm should be a structured, iterative regulatory process that is capable of responding quickly and appropriately to new knowledge and unfolding realities, and formal and informal, multi-level networks that foster learning, cooperation, collaboration, and innovation. Without such a paradigm shift, the existing regulatory paradigm will fall into crisis, rendering structures designed today vulnerable to failure in the face of tomorrow’s climate, and thereby compromising substantial infrastructure investments and increasing risks to public safety.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.015 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.025 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".