Replication Data for: Group proximity and mutual understanding: Measuring on-site impact of a citizens' summit
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'To better understand the impact of deliberations during participatory policymaking events, we introduce and explore the concept of group proximity. An example of such events are citizens’ summits, during which many parallel groups deliberate on solutions for a policy issue. At the summit that was studied, each group followed a value deliberation process with the aim to increase mutual understanding among participants. They were asked to rank the solutions in their order of preference before and after the deliberation. From these rankings, group proximity can be calculated with a rank correlation, enabling a precise comparison of participants’ preferences in each deliberative group. High group proximity indicates very similar rankings in a deliberative group, low group proximity demonstrates the opposite. Comparing group proximity of the' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Group proximity"]} <|eot_id|>
 Here is the Description of a dataset. Description:'To better understand the impact of deliberations during participatory policymaking events, we introduce and explore the concept of group proximity. An example of such events are citizens’ summits, during which many parallel groups deliberate on solutions for a policy issue. At the summit that was studied, each group followed a value deliberation process with the aim to increase mutual understanding among participants. They were asked to rank the solutions in their order of preference before and after the deliberation. From these rankings, group proximity can be calculated with a rank correlation, enabling a precise comparison of participants’ preferences in each deliberative group. High group proximity indicates very similar rankings in a deliberative group, low group proximity demonstrates the opposite. Comparing group proximity of the' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
To better understand the impact of deliberations during participatory policymaking events, we introduce and explore the concept of group proximity. An example of such events are citizens’ summits, during which many parallel groups deliberate on solutions for a policy issue. At the summit that was studied, each group followed a value deliberation process with the aim to increase mutual understanding among participants. They were asked to rank the solutions in their order of preference before and after the deliberation. From these rankings, group proximity can be calculated with a rank correlation, enabling a precise comparison of participants’ preferences in each deliberative group. High group proximity indicates very similar rankings in a deliberative group, low group proximity demonstrates the opposite. Comparing group proximity of the
Group proximity