“Political economic research continues to explore the concentration of media ownership and the consequences of commercialized media for a consumer society”: Interview with Janet Wasko
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Eptic : How do you observe the context of the research focus of the Political Economy of Communication within the U.S. academic community in the XXI century? In what direction are the main researches in the U.S. currently heading? Janet Wasko : The study of the political economy of communications in the US continues to provide an important and essential analysis for media studies. While mostly ignored by mainstream media economists and rejected by many cultural theorists, the tradition is continuing to grow, especially among new communication scholars. Political economic esearch continues to explore the concentration of media ownership and the consequences of commercialized media for a consumer society. US and Canadian scholars also are developing an even more sophisticated theoretical foundation, as evidenced by a number of new books relating to theories of political economy and media. An interesting development is the tendency for younger scholars to integrate political economic analysis with cultural theories, thus providing an even more compelling explanation of role in contemporary society.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.010 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it