A portrait of the different configurations between digitally-enabled innovations and climate governance
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
Rapid societal transformations are required to keep global average temperature rise well below 2 °C by 2050. An increasingly diverse set of initiatives are leveraging digital technologies to transform society. Given the rapid pace at which these initiatives emerge and the accelerated rate of technological innovation, few connections are made as to their common approaches and motivations. To address this, we developed a database of such initiatives from around the world. We propose a categorization of four types of strategies: data mobilization, optimization of existing strategies, incentivizing and automating behavioural change, and enhancing participation and empowerment of individuals. We analyse connections between types of strategies through the lens of the Earth System Governance framework's original 5 A's – Architecture, Agency, Adaptiveness, Accountability, and Allocation & Access. This work provides a first step towards understanding how digitally-enabled initiatives are contributing to re-imagining climate governance.
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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 | 0.000 | 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 | 0.001 | 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