Publishing public service media on demand: A comparative study of public service media companies’ editorial practices on their VoD services in the age of platformization
Bibliographic record
Abstract
This article contributes to the emerging empirical research on the editorial practices of video-on-demand (VoD) publishing in European public service media (PSM). It presents results from a comparative study of the editorial practices visible on the VoDs from ten PSM companies across six countries: United Kingdom, Belgium, Poland, Italy, Canada and Denmark. The aim of the article is to map and compare the editorial practices in the ‘prime space’ of the VoD services and the ‘prime time’ of the companies’ main linear channels. The analysis is based on data from a sample week of 13–19 November 2023. The article contributes to research addressing the key issue of universality in terms of content and discusses the conceptualizations of the audience that seem to be at work in the transition towards an online PSM identity.
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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 | 0.010 | 0.058 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".