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Record W1513244420

The Magic of Images: Word and Picture in a Media Age

2004· article· en· W1513244420 on OpenAlexaboutno aff
Camille Paglia

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicMedia, Communication, and Education
Canadian institutionsnot available
Fundersnot available
KeywordsMedia studiesPopular cultureThe artsImmediacyCountercultureSociologyPolitical scienceArt historyHistoryArtVisual arts
DOInot available

Abstract

fetched live from OpenAlex

JlLducation has failed to adjust to the mas sive transformation in Western culture since the rise of elec tronic media. The shift from the era of the printed book to that of television, with its immediacy and global reach, was prophesied by Marshall McLuhan in his revolutionary Un derstanding Media, which at its publication in 1964 spoke with visionary force to my generation of college students in the United States. But those of us who were in love with the dazzling, darting images of TV and movies, as well as with the surging rhythms of new rock music, had been given through public education a firm foundation in the word and the book. Decade by decade since the 1960s, popular culture, with its stunning commercial success, has gained strength un til it now no longer is the brash alternative to organized reli gion or an effete literary establishment: it is the culture for American students, who outside urban centers have little ex posure to the fine arts. I cannot speak for Canadian or Euro pean students, whom I have had little opportunity to observe closely over time. But because the us is the driving media en gine for the world, what happens there may well be a har binger for the future of all industrialized nations. Interest in and patience with long, complex books and po ems have alarmingly diminished not only among college stu dents but college faculty in the us. It is difficult to imagine American students today, even at elite universities, gathering

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.538
Threshold uncertainty score0.971

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 head0.024
GPT teacher head0.319
Teacher spread0.295 · 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 designQualitative
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

Citations6
Published2004
Admission routes1
Has abstractyes

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