Bibliographic record
Abstract
Changing Geopolitics of Global Communication examines the rapidly evolving dynamics between global communication and geopolitics. As an intersection between communication and international relations, it bridges the existing gap in scholarship and highlights the growing importance of digital communication in legitimizing and promoting the geopolitical and economic goals of leading powers. One central theme that emerges in the book is the continuity of asymmetries in power relations that can be traced back to 19th-century European imperialism, manifested in its various incarnations from ‘liberal’ to ‘neo-liberal’, to ‘digital’ imperialism. The book includes a discussion of the post–Cold War US-led transformation of the hardware and software of global communication and how it has been challenged by the ‘rise of the rest’, especially China. Other key issues covered include the geopolitics of image wars, weaponization of information and the visibility of discourses emanating from outside the Euro-Atlantic zone. The ideas and arguments advanced here privilege a reading of geopolitical processes and examples from the perspective of the global South. Written by a leading scholar of global communication, this comprehensive and transdisciplinary study adopts a holistic approach and will be of interest to the global community of scholars, researchers and commentators in communication and international relations, among other fields.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.004 | 0.021 |
| Scholarly communication | 0.018 | 0.014 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".