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
This Technical Note on Climate Risk Analysis highlights that the financial sector in Canada is exposed to both physical and transition climate risks. Canadian regulators are working on advancing climate risk management in financial institutions. The Financial Sector Assessment Program also performed an independent analysis of key physical and transition risks for large deposit takers. The focus of these analyses is on developing methodologies and enhancing awareness of climate risks and associated challenges in climate risk assessment. Results are sensitive to several parameters, such as the damage function and the rate of passthrough of damages to Deposit Taking Institutions. The transition risk analysis finds heterogeneous results by sectors, with notable impacts for heavy emitters. Under the transition scenarios, Non-Financial Corporates’ credit risk would generally increase modestly but with significant variations across sectors. Notable impacts are observed for the oil and gas sector. Both analyses focus on a specific credit risk channel and only capture direct impacts, ignoring indirect and systemic effects, hence potentially underestimating overall climate risks facing the Canadian banking and deposit taking sector.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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