Bibliographic record
Abstract
PART ONE: INTRODUCTION Media Organization and Production - Simon Cottle Mapping the Field PART TWO: GLOBAL CORPORATIONS, LOCAL ALTERNATIVES Corporate Media, Global Capitalism - Robert W McChesney Organization and Production in Alternative Media - Chris Atton PART THREE: CORPORATE CHANGE AND ORGANIZATIONAL CULTURES Strategizing Technological Innovation - Timothy Marjoribanks The Case of News Corporation Organizational Culture inside the BBC and CNN - Lucy K[um]ung-Shankleman PART FOUR: PRODUCERS PRACTICES AND THE PRODUCTION OF CULTURAL FORMS The Brains Trust - Paddy Scannell An Historical Study of the Management of Liveness on Radio Journalists With a Difference - Eamonn Forde Producing Music Journalism Cultures of Production - Julian Matthews The Making of Children's News PART FIVE: CHANGING INTERNATIONAL GENRES AND PRODUCTION ECOLOGIES International TV and Film Co-Production - Doris Baltruschat A Canadian Case Study Producing Nature(s) - Simon Cottle The Changing Production Ecology of Natural History TV
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 teacher head, 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".