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Record W7027707002

Crossing the border(line) : Madonna's encounter with the Hispanic.

2004· other· en· W7027707002 on OpenAlexaboutno aff

Bibliographic record

VenueDurham Research Online (Durham University) · 2004
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsAppropriationDeconstruction (building)Style (visual arts)Ethnic groupMalleabilityCriticism
DOInot available

Abstract

fetched live from OpenAlex

Much has been written about Madonna's subversion, deconstruction and inversion of gender. With a few exceptions (hooks, 1992 and 1993; Nakayama and Peñaloza, 1993; Scott, 1993), critics have paid far less attention to her deconstruction of ethnic identities and very little has been written about her take on the Hispanic, which is perhaps the most influential and re-visited 'ethnic' style in her work. Almost every year since 1984 and up to 2003, Madonna has presented either a song, video, photo shoot or live performance displaying a Hispanic influence and she has recorded and performed in Spanish some of her hit singles. It has become common place both in academic and journalistic criticism on Madonna to describe her subcultural practices as 'an appropriation of style rather than a substantive politics' (Robertson, 1996). Yet most of this criticism, although apparently aware of the obvious implications of commerciality and longevity, seems to bypass the fact that Madonna herself, often hailed as the All-American girl, is in fact half Italian, half French-Canadian and the mother of a half-Hispanic girl. This chapter analyses four of Madonna's Hispanic-themed videos ('Borderline' 1984, 'La Isla Bonita' 1986, 'Take a Bow' 1994 and 'You'll See'/'Verás' 1995), the context of the film Evita (Parker, 1996) and some of Madonna's live performances in an attempt to explore her take on the Hispanic and to argue that, despite the plethora of stereotypical images used in these videos, Madonna's appropriations of Hispanic cultures and her own ethnic malleability could be read as a subversive reminder of the multi-racial and multi-cultural make up of the USA.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.033
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.008
Science and technology studies0.0030.007
Scholarly communication0.0010.000
Open science0.0050.002
Research integrity0.0010.006
Insufficient payload (model declined to judge)0.0060.003

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 head0.044
GPT teacher head0.341
Teacher spread0.296 · 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 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
Published2004
Admission routes1
Has abstractyes

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