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Record W2070473893 · doi:10.1353/ams.2011.0128

Immigration and Popular Culture: An Introduction (review)

2009· article· en· W2070473893 on OpenAlexaboutno aff
Norma Coates

Bibliographic record

VenueAmerican studies · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicItalian Fascism and Post-war Society
Canadian institutionsnot available
Fundersnot available
KeywordsPopular cultureImmigrationMedia studiesSociologyWhite (mutation)Dominant cultureNarrativeHistoryGender studiesArtPolitical scienceLiteratureLaw

Abstract

fetched live from OpenAlex

Reviewed by: Immigration and Popular Culture: An Introduction Norma Coates Immigration and Popular Culture: An Introduction. By Rachel Rubin and Jeffrey Melnick. New York: New York University Press. 2007. Immigration is a very timely topic, one with an increasing influence on American politics and notions of, in the words of media scholar Michele Hilmes, who we are and who we are not. In this smart, well-researched and eminently readable yet intellectually complex book, Rachel Rubin and Jeffrey Melnick put popular culture at the center of that definition, focusing upon the consumption, production, and imagery around immigration and popular culture in order to "offer a road map of the cultural imagination of immigration." This it does, and more. In a series of roughly chronological case studies, beginning with Italian and Jewish gangster films of the 1930s and culminating with Asian Americans in cyberspace in the 2000s, with several other different types of media texts in-between, Rubin and Melnick analyze the integration of immigration and popular culture as a process of masquerade, analyzing both what lies behind the mask that is the popular culture text, as well the motivations and construction of the mask itself. The case studies focus on different types of popular culture texts including film, Broadway, popular music, journalism, clothing (the zoot suit of the 1940s) and media platforms (turntables, the internet). Although they do not focus on black/white relations, they do "read" immigration narratives and imagery through that history, providing a richness and depth to their analysis and discussion. The authors pay close and particular attention to historical and social context, thereby foregrounding the cultural history of immigration as read though media texts. A work of this sort cannot cover everything, and the focus on representation of particular ethnic groups in popular culture can have the effect of wiping out real distinctions within those groups, for example, Asians or Asian Americans. At the same time, the book is so clearly written and methodologically focused that it provides inspiration and an excellent model for students and readers to pursue their own studies of groups or texts that are omitted in this volume. A thornier omission is that of representation of Native Americans, technically outside of the scope of the book but a group whose representation in popular culture demands continued interrogation. Also missing is an in-depth study of a television text, although that omission in itself says much about the potential object of study. [End Page 120] Immigration and Popular Culture: An Introduction is an excellent and very necessary contribution to American Studies and to the understanding of the complex and important relationship between the two topics in its title. The authors make visible a relationship that, as they argue, imbues and indeed has built American popular culture and will continue to renew and create it. Immigration and Popular Culture is a very lucid and instructive model of how to do interdisciplinary media studies, suitable for use as a key text for an undergraduate course, or as a methodological model for graduate students in American studies, media studies, or cognate fields. Norma Coates University of Western Ontario (Canada) Copyright © 2010 Mid-America American Studies Association

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.358
Threshold uncertainty score0.340

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)0.0000.000

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 head0.018
GPT teacher head0.332
Teacher spread0.314 · 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 teacher head, not a consensus.

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

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
Published2009
Admission routes1
Has abstractyes

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