Comparing Ireland's Citizens’ Assembly and France's Citizens’ Convention
Bibliographic record
Abstract
We are seeing increasing numbers of citizens' assemblies on the climate. In this context, it is helpful to look at their common ancestor: Ireland's assembly, run between 2016 and 2018. This assembly is often pointed to as an inspiration, or a model, for France's Convention. This chapter examines the context in which the two programs emerged, and the justifications presented for the deliberative devices constituted through random selection – particularly on the issue of the climate. It analyzes the case of Ireland and compares it to that of France, seeking to understand the divergences between the two deliberative devices, with their respective strengths and weaknesses. Numerous deliberative experiments based on random selection have developed since the 1970s: citizen juries, planning cells, citizens' conferences and deliberative polls. Then, we have citizens' assemblies, which were launched in Canada in 2004 and then in the Netherlands, to propose an electoral reform.
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How this classification was reachedexpand
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 | 0.000 | 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) | 0.003 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".