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Record W6888933468 · doi:10.24546/81011863

アメリカが内向きのナショナリズムを選ぶとき : 出生地主義に基づく市民権と移民制度改革をめぐるアメリカ保守主義の変容

2019· other· en· W6888933468 on OpenAlexaboutno aff

Bibliographic record

VenueInstitutional Repositories DataBase (IRDB) · 2019
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsConservatismNationalismHegemonyCitizenshipArgument (complex analysis)Meaning (existential)ImmigrationSkepticismPresidential system

Abstract

fetched live from OpenAlex

In the paper I analyze the discourse of conservatism since the 2016 presidential election in the United States and clarify a tendency that is gradually becoming dominant in the conservatism in recent years. To conclude, the type of American conservatism that is gaining ascendancy after the election is seeking an inward nationalism that may somehow maintain continuity with conventional Americanism. My argument is that there may occur a struggle for hegemony among conservatives over the meaning of Americanism. The rise of the new type of nationalism is linked to the skepticism over granting birthright citizenship to illegal immigrants, which has been firmly maintained based on the 14th amendment in the U.S. Constitution. The nationalism is also linked to an effort to cope with the class division between New Class and the rest of 90 percent people in America. This paper begins with a discussion by Michael Anton, one of the West Coast Straussians. He is known among American conservatives as the author of “The Flight 93 Election.” He served as a staff in the Trump administration. He argues that the president of the United States should stop birthright citizenship with an executive order and that American people need to abandon the image that America is a nation of immigrants. He claims that America is a nation of settlers, who made a social compact about the nature of membership. In the next two sections I focus on Reihan Salam and F.H. Buckley when reviewing the current immigration reform. Salam, a reformicon is a second generation of immigrants from Bangladesh. Buckley, a pro Trumper is a former Canadian citizen. Salam puts priority on productivity while Buckley praises mobility although they commonly promote a more skill-based immigration system that seems work well in Canada and other countries. This means that both types of conservatives recommend American people to accept a foreign, good model regardless of their national pride. In the last section I examine the current rise of nationalism as a guiding principle in America. I focus on The Virtue of Nationalism by Yoram Hazony, an Israeli conservative intellectual at the Herzl Institute. When President Trump said that he is a nationalist in a rally at Houston, Texas in October 2018, liberal media slammed him because nationalism is likely connected with White Nationalism and Nazism. Hazony defended him by arguing that nationalism is not a dangerous concept. He advocates the idea of nationalism because the idea is so important for keeping the independence of Israel as a bulwark against threats such as Holocaust and Auschwitz. Although his theory of nationalism may be regarded as anachronism in the current political theory, he gets so many audiences and proponents among American conservatives that he succeeds in creating a global alliance with them to defend the idea of nationalism.

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 imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.007
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.016
Scholarly communication0.0050.005
Open science0.0010.002
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.017
GPT teacher head0.266
Teacher spread0.249 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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Same venueInstitutional Repositories DataBase (IRDB)French-language works237,207