Financial Markets and the Transition to a Low-Carbon Economy: Challenging the Dominant Logics
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
Financial markets play a major role in contributing to the transition to a low-carbon economy. Although many initiatives and developments are taking place, this is just the beginning. In this article, we argue for a theory of change—a theory rooted in logics that will help financial markets play a key role in the transition to a low-carbon economy. We argue that the current dominant logics in finance—short-termism, predictability of the future based on ex-post data, price efficiency, and risk-adjusted returns—impede the effective integration of climate considerations in financial markets. We suggest four alternative logics that can enable and foster a change toward the low-carbon economy: long-termism, systems interconnectedness, carbon price dynamics, and active ownership.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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 it