Streaming af public service-tv i platformenes tid
Bibliographic record
Abstract
Over hele verden påvirkes public service-medier (PSM) kontinuerligt af samfundsmæssige og teknologiske forandringer. De seneste år har dog medført en række nye udfordringer. Disse omfatter radikale forandringer i befolkningens mediebrug, fremvæksten af streaming-tjenester samt store tech-selskabers dominans. De nye aktører i konkurrencen om brugernes opmærksomhed udfordrer PSM som samfundsinstitution og projekt. De vidtrækkende forandringer i medielandskabet påvirker broadcasterne selv, som ændrer sig til fuldt ud digitale online-first organisationer. Det er på den baggrund, vi her præsenterer udvalgte resultater fra den forskning, vi har udført i løbet af andet år af det komparative forskningsprojekt Public Service Media in the Age of Platforms (PSM-AP). Vi fremlægger her de centrale resultater og fremsætter en række anbefalinger vedrørende PSM-organisationers publicerings- og personaliseringspraksisser. Resultater og anbefalinger er baseret på analyser af public service-mediernes egne video on-demand (VoD) tjenester i de følgende markeder: Belgien (Flandern og Vallonien), Canada, Danmark, Italien, Polen og Storbritannien.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.024 | 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; both teacher heads agree on what is shown here.
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".