Bibliographic record
Abstract
1 The Rise of the Global Media2 Disjuncture and Difference in the Global Economy 3 Who We Are, Who We Are Not: Battle of the Global Paradigms4 Our World, Satellite Televisuality, and the Fantasy of Global Presence5 Flows and Other Close Encounters with Television6 Media Imperialism 7 Is There Anything Called Global Television Studies?8 Reviving Cultural Imperialism9 Going Global: International Coproductions and the Disappearing Domestic Audience in Canada10 Francophonie and the National Airwaves: A History of Television in Senegal11 On the Margins of the Constitutional State12 Television, Chechnya, and National Identity after the Cold War: Whose Imagined Community?13 Television and Trustworthiness in Hong Kong14 Soothsayers, Politicians, Lesbian Scribes: The Philippine Movie Talk Show15 Act Globally, Think Locally16 Where the Global Meets the Local17 Embedded Aesthetics: Creating a Discursive Space for Indigenous Media18 Local, Global, or National? Popular Music on Indonesian Television19 Marriages Are Made on Television20 Culture and Communication21 Narrowcasting in Diaspora22 Postnational Television?23 African American Television in an Age of Globalization24 Teletubbies: Infant Cyborg Desire and the Fear of Global Visual Culture
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 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.096 | 0.041 |
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".