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Record W4251608345 · doi:10.3998/mpub.591457

Defacing Power

2010· book· en· W4251608345 on OpenAlexaboutno aff
Brent J. Steele

Bibliographic record

VenueUniversity of Michigan Press eBooks · 2010
Typebook
Languageen
FieldSocial Sciences
TopicInternational Relations and Foreign Policy
Canadian institutionsnot available
Fundersnot available
KeywordsPower (physics)Foreign policyInternational relationsSociologyPoliticsDisciplineIdentity (music)Political scienceEpistemologyMedia studiesHumanitiesLawAestheticsSocial scienceArtPhilosophy

Abstract

fetched live from OpenAlex

"Combining a rich and varied set of theoretical insights with a subtle analysis of the politics of American foreign policy, Defacing Power marks an important contribution toward understanding the power of identity in world politics. Engagingly written and rigorously argued, Steele's challenging analysis is incisive, important, and rewarding." ---Michael C. Williams, Graduate School of Public and International Affairs, University of Ottawa "Brent Steele's marvelous excavation of the aesthetic dimensions of power is strikingly irreverent, inasmuch as he displays no commitment to ex ante disciplinary or substantive constraints in his quest to disclose those moments of creative action so often overlooked by theories and theorists wedded to the grandiose and the transhistorical. Steele samples and remixes a myriad of sources, arranging them so as to produce a transgressively insightful account of how 'work on the Self,' often condemned as self-indulgent by prior generations of intellectuals, might just point in the direction of a more sustainably secure world." ---Patrick Thaddeus Jackson, School of International Service, American University "Defacing Power successfully integrates work from Dewey to Morgenthau to Foucault, as well as a wide range of contemporary international relations scholars, in its genealogy of power conceptualizations and characteristics. This book is theoretically sophisticated and serious. It should be of interest to students of international politics, international theory, social theory, and foreign policy." ---Cecelia Lynch, Center for Global Peace and Conflict Studies, University of California, Irvine Defacing Power investigates how nation-states create self-images in part through aesthetics and how these images can be manipulated to challenge those states' power. Although states have long employed media, such as radio, television, and film, for their own image-making purposes, counterpower agents have also seized upon new telecommunications technologies. Most recently, the Internet has emerged as contested territory where states and other actors wage a battle of words and images. Moving beyond theory, Brent Steele illustrates his provocative argument about the vulnerability of power with examples from recent history: the My Lai Massacre and the Tet Offensive, September 11 and the al-Qaeda communiqués, the atrocities at Fallujah and Abu Ghraib, and the U.S. response to the Asian tsunami of December 2004. He demonstrates how a nation-state---even one as powerful as the United States---comes to feel threatened not only by other nation-states or terrorist organizations but also by unexpected events that challenge its self-constructed image of security. At the same time, Steele shows that as each generation uses available media to create and re-create a national identity, technological innovations allow for the shifting, upheaval, and expansion of the cultural structure of a nation. Brent J. Steele is Associate Professor of Political Science at the University of Kansas.

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)0.008
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 score0.027
Threshold uncertainty score0.090

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0090.027
Scholarly communication0.0110.016
Open science0.0020.010
Research integrity0.0030.008
Insufficient payload (model declined to judge)0.0270.007

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 head0.016
GPT teacher head0.237
Teacher spread0.221 · 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

Citations76
Published2010
Admission routes1
Has abstractyes

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