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Record W2785766377 · doi:10.14288/1.0362402

Adorno and Marcuse’s critical analysis of media culture and its implications for media education in China

2017· article· en· W2785766377 on OpenAlexaff
Yue Li

Bibliographic record

VenuecIRcle (University of British Columbia) · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCritical Theory and Philosophy
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsChinaSociologyPolitical scienceMedia studiesEpistemologySocial sciencePhilosophy

Abstract

fetched live from OpenAlex

This thesis explores the educational insights in Adorno and Marcuse’s critical theory and discusses its implication for media education in mainland China. There are three main areas where their critical philosophy can strengthen critical pedagogy and media education in contemporary China: their analysis of the nature and effects of media culture, their critique of the educational system, and their aesthetic educational method with the aim of cultivating critical thinking. Given mass media’s significant role in shaping people’s understanding towards different social affairs, my thesis challenges the current technical mode of media education in mainland China, which stresses too much the teaching of technical knowledge while ignoring the cultivation of the ability to think critically. I also discuss the educational methods that teachers may use to cultivate critical thinking based on Adorno and Marcuse’s philosophy of education. As a philosophical inquiry, my thesis concentrates on theoretical analysis. By applying Adorno and Marcuse’s critical philosophy to contemporary China, I not only analyze the insights of their philosophy for understanding the current society, but also suggest that some opinions in their theory should be changed within the contemporary social and cultural context.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.669
Threshold uncertainty score0.985

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.020
GPT teacher head0.287
Teacher spread0.267 · 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 designObservational
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
Published2017
Admission routes1
Has abstractyes

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