Replication Data for: Pluralistic Collapse (ASR, 2020)
<|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:'Replication data and code for 'Pluralistic Collapse: The 'Oil Spill' Model of Mass Opinion Polarization.' Code should be run in this order:Step 1 - Variable_Recodes.do (Stata; this can also be skipped if you just want to start with the R files and use the prepared GSS_Recoded.dta file)Step 2 - Create PairsStep 3 - Gather CorrelationsStep 4 - Model CorrelationsStep 5 - Observed NetworksStep 6 - Bootstrapping (parts1, 2, and 3 in that order)Step 7 - Plot ResultsNote that several of these steps are computationally intensive. The 'parallel' package in R can be very useful for purposes of speeding up the computation.*Note*: In a previous version of this dataset, I forgot to include the Step 5 file which is used to generate the observed (non-bootstrapped) networks. This is now included, and the subsequent files have ' . 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" : ["Political polarization"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Replication data and code for 'Pluralistic Collapse: The 'Oil Spill' Model of Mass Opinion Polarization.' Code should be run in this order:Step 1 - Variable_Recodes.do (Stata; this can also be skipped if you just want to start with the R files and use the prepared GSS_Recoded.dta file)Step 2 - Create PairsStep 3 - Gather CorrelationsStep 4 - Model CorrelationsStep 5 - Observed NetworksStep 6 - Bootstrapping (parts1, 2, and 3 in that order)Step 7 - Plot ResultsNote that several of these steps are computationally intensive. The 'parallel' package in R can be very useful for purposes of speeding up the computation.*Note*: In a previous version of this dataset, I forgot to include the Step 5 file which is used to generate the observed (non-bootstrapped) networks. This is now included, and the subsequent files have ' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Replication data and code for 'Pluralistic Collapse: The 'Oil Spill' Model of Mass Opinion Polarization.' Code should be run in this order:Step 1 - Variable_Recodes.do (Stata; this can also be skipped if you just want to start with the R files and use the prepared GSS_Recoded.dta file)Step 2 - Create PairsStep 3 - Gather CorrelationsStep 4 - Model CorrelationsStep 5 - Observed NetworksStep 6 - Bootstrapping (parts1, 2, and 3 in that order)Step 7 - Plot ResultsNote that several of these steps are computationally intensive. The 'parallel' package in R can be very useful for purposes of speeding up the computation.*Note*: In a previous version of this dataset, I forgot to include the Step 5 file which is used to generate the observed (non-bootstrapped) networks. This is now included, and the subsequent files have 
Political polarization