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Record W4416947720 · doi:10.4324/9781003572671-15

Citizenship in the “Homeland”

2024· book-chapter· en· W4416947720 on OpenAlexaboutno aff
Deborah Cowen, Emily Gilbert

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldArts and Humanities
TopicRhetoric and Communication Studies
Canadian institutionsnot available
Fundersnot available
KeywordsFraming (construction)PolityCitizenshipPoliticsHomelandForeign policyNationalismDemocracy

Abstract

fetched live from OpenAlex

On September 20, 2001, George W. Bush announced the creation of the Office of Homeland Security, invoking intimate longings for a secure and familial polity in response to the trauma of 9/11. When criticized for not thanking Canada for crisis support in this speech, Bush responded, “I didn't necessarily think it was important to praise a brother; after all, we're talking about family.” Colin Powell, writing about U.S. foreign policy and multilateral relations, affirmed that the world need not become multipolar “because there need be no poles among a family of nations that shares basic values” (Powell 2004). Familial metaphors of nationhood have a long history, and the United States is certainly not the first to invoke the image of homeland. But historically, a familial imaginary has not been a prominent feature of U.S. nationalist discourse. Yet this framing has found meaning in the crisis of the contemporary War on Terror. Moreover, just as metaphors of family are more frequently being deployed in U.S. political discourse, public policy is also increasingly geared toward “marriage promotion” and “safe and stable families” and away from any form of social and sexual alternative. Since the initiation of the “War on Terror,” the private family stands at the center of U.S. domestic and foreign policy, with the “failure” of the family understood as a cause of suffering, misery, disease, and even terrorism, particularly in racialized communities across the nation and around the world.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.418
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.002

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 head0.103
GPT teacher head0.252
Teacher spread0.148 · 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; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
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
Published2024
Admission routes1
Has abstractyes

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