How is the American Foreign Policy Establishment Structured? A Multiple Correspondence Analysis of the U.S. China Field
<|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:'Challenging visions of the U.S. national security “Establishment” as either hamstrung by ideological homogeneity bordering on groupthink, or riven by irreconcilable party political divisions, we deploy Multiple Correspondence Analysis (MCA) to uncover empirically the structure of the China segment of the U.S. national security community. MCA—a form of geometric data analysis—finds latent structures in categorical datasets. Using an original dataset of organizations with a strong presence on China issues, we show that the China organizational field is far from homogenous, but is split less between Left and right than over degree of political engagement, separating older think tanks and cultural organizations from business-focused research and consulting firms, and academic/research institutions from outside politically-oriented groups lo' . 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" : ["China","Expertise","Multiple Correspondence Analysis","The Establishment","U.S. Foreign Policy"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Challenging visions of the U.S. national security “Establishment” as either hamstrung by ideological homogeneity bordering on groupthink, or riven by irreconcilable party political divisions, we deploy Multiple Correspondence Analysis (MCA) to uncover empirically the structure of the China segment of the U.S. national security community. MCA—a form of geometric data analysis—finds latent structures in categorical datasets. Using an original dataset of organizations with a strong presence on China issues, we show that the China organizational field is far from homogenous, but is split less between Left and right than over degree of political engagement, separating older think tanks and cultural organizations from business-focused research and consulting firms, and academic/research institutions from outside politically-oriented groups lo' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Challenging visions of the U.S. national security “Establishment” as either hamstrung by ideological homogeneity bordering on groupthink, or riven by irreconcilable party political divisions, we deploy Multiple Correspondence Analysis (MCA) to uncover empirically the structure of the China segment of the U.S. national security community. MCA—a form of geometric data analysis—finds latent structures in categorical datasets. Using an original dataset of organizations with a strong presence on China issues, we show that the China organizational field is far from homogenous, but is split less between Left and right than over degree of political engagement, separating older think tanks and cultural organizations from business-focused research and consulting firms, and academic/research institutions from outside politically-oriented groups lo
China; Expertise; Multiple Correspondence Analysis; The Establishment; U.S. Foreign Policy