Governing Climate Change Transnationally: Assessing the Evidence from a Database of Sixty Initiatives
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
With this paper we present an analysis of sixty transnational governance initiatives and assess the implications for our understanding of the roles of public and private actors, the legitimacy of governance ‘beyond’ the state, and the North–South dimensions of governing climate change. In the first part of the paper we examine the notion of transnational governance and its applicability in the climate change arena, reflecting on the history and emergence of transnational governance initiatives in this issue area and key areas of debate. In the second part of the paper we present the findings from the database and its analysis. Focusing on three core issues, the roles of public and private actors in governing transnationally, the functions that such initiatives perform, and the ways in which accountability for governing global environmental issues might be achieved, we suggest that significant distinctions are emerging in the universe of transnational climate governance which may have considerable implications for the governing of global environmental issues. In conclusion, we reflect on these findings and the subsequent consequences for the governance of climate change.
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 | 0.001 | 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 | 0.001 |
| 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