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Record W3121717902 · doi:10.3916/c44-2015-11

The Framework of Media Education and Media Criticism in the Contemporary World: The Opinion of International Experts

2015· article· en· W3121717902 on OpenAlexaboutno aff
Alexander Fedorov, Anastasia Levitskaya

Bibliographic record

VenueSSRN Electronic Journal · 2015
Typearticle
Languageen
FieldHealth Professions
TopicDigital Storytelling and Education
Canadian institutionsnot available
Fundersnot available
KeywordsCriticismMedia literacyHappeningMedia studiesPolitical scienceMass mediaPublic relationsSociologyHistoryLaw

Abstract

fetched live from OpenAlex

The article analyzes the results of the international survey «Synthesis of Media Literacy Education and Media Criticism in the Modern World», conducted by the authors in May-July 2014. 64 media educators, media critics, and researchers in the field of media education and media culture participated in the survey, representing 18 countries: the USA, the UK, Canada, Australia, New Zealand, Germany, Ireland, Spain, Portugal, Sweden, Finland, Greece, Cyprus, Hungary, Ukraine, Serbia, Turkey, and Russia. Analysis of the data shows that the international expert community on the whole shares the view that the synthesis of media education and media criticism is not only possible, but also necessary, especially in terms of effectively developing the audience’s critical thinking skills. However, only 9.4% of the experts believe that media critics' texts are used in media literacy education classes in their countries to a large extent. Approximately one-third (34.4% of the polled experts) believe that this is happening at a moderate level, and about the same number (32.8%) believe that this is happening to a small extent. Consequently, media education and media criticism have a lot to work to do to make their synthesis really effective in the modern world.

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)0.004
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.204
Threshold uncertainty score0.706

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
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 integrity0.0000.001
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 head0.063
GPT teacher head0.410
Teacher spread0.347 · 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 designTheoretical or conceptual
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

Citations7
Published2015
Admission routes1
Has abstractyes

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