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Record W7107868660 · doi:10.25969/mediarep/24298

Media Travels. Toward an Atlas of Global Media

2025· book· en· W7107868660 on OpenAlexaboutno aff

Bibliographic record

VenueMEDIAREP · 2025
Typebook
Languageen
FieldSocial Sciences
TopicAsian Culture and Media Studies
Canadian institutionsnot available
Fundersnot available
KeywordsScholarshipIndigenousSocial mediaVariety (cybernetics)Alternative mediaCitizen mediaDiversity (politics)Digital mediaCurriculum

Abstract

fetched live from OpenAlex

Media Travels: Toward An Atlas of Global Media fills a significant gap in global media scholarship by offering short, readable articles covering different types of media from around the world. Through careful and informed analysis, these eleven accessibly written chapters illustrate the particularities of different media practices and situate them within social, historical, and geographical contexts. Examples range from South African video games to Korean TV series popular in Latin America to Indigenous film and media from the US and Canada. Media studies courses, particularly introductory courses, are often narrowly focused on US and Western European canons. Instructors for introductory media studies courses wishing to expand the offerings in their curricula will find in these essays new ways of approaching foundational concepts and issues in the field, including globalization, social difference, and diverse media cultures. Scholars wishing to expand their research into specific media forms or representational issues can also turn to these case studies for approaches from beyond the US. By including a variety of media and several geographical areas, the collection introduces readers to the formal, technological, and cultural diversity of global media studies.

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.428
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.030
GPT teacher head0.315
Teacher spread0.284 · 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.

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
Published2025
Admission routes1
Has abstractyes

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