Bibliographic record
Abstract
Abstract Participation by citizens and stakeholder groups is an important aspect of climate governance at the regional, national, international, and global levels. Increasing awareness of anthropogenic causes of climate change has fueled calls for democratic action and renewal that promise to enrich both existing and emerging forms of political engagement. Participation is not a panacea, however, and has many limitations. Three substantial critiques of participatory and deliberative approaches to climate change hinge on questions of power, authority, and opportunities for dissent. The climate system itself poses unique challenges to democratic governance. Accelerating rates of environmental change associated with climate change make past experience less applicable to current situations and complicate predicting the future even further. As such, participatory and deliberative approaches may need to be reconfigured to respond adequately to the challenges of climate change. Systems approaches broaden the scope of participation and deliberation, and innovative participatory methods are increasingly moving beyond narrow framings of climate change. As deliberative and participatory initiatives become more common, it is no longer a question of supporting or rejecting participatory forms of climate governance. Rather, questions need to address what kinds of consequences will occur and in whose interests certain participatory processes operate. Which social views and values are supported and which are marginalized, and what are the consequences of collective responses to this pressing environmental and social issue?
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 | 0.032 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.006 | 0.044 |
| Scholarly communication | 0.013 | 0.008 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.012 | 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".