The Invisibility of Latin American Scholarship in European Media and Communication Studies: Challenges and Opportunities of De-Westernization and Academic Cosmopolitanism
Bibliographic record
Abstract
In this article, we critically revisit previous attempts to de-Westernize media and communication studies in Europe. Based on a review of the most reputational Europe-based journals and European academic conferences on our subject from 2010 to 2016, we show how European media and communication studies nurture a scholarly practice of talking about Latin American contexts rather than including voices from within the continent. We establish a historical perspective on the current situation by showcasing emblematic cases of past links between European and Latin American scholarship and discuss the invisibility of Latin American scholarship in the context of the de-Westernizing media and communication studies approach. Our analysis shows that a critical implementation of de-Westernization requires more geographically diverse editorial boards, greater international cooperation, and comparative accounts to capture diversity in regional contexts.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.044 | 0.030 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.005 | 0.024 |
| Scholarly communication | 0.017 | 0.008 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".