Hvad er (god) public service-journalistik?
Bibliographic record
Abstract
Public service-nyhedsformidling skal hjælpe os med at udvikle demokratiet, skabe et fælles samfund og stå til rådighed for den enkelte. Redaktionerne på TV 2 og DR skæver til seer- og lyttertal, målgrupper og lovkrav, og de lægger ører til politisk pres og professionelle opinionsdannere, mens de giver værdier som væsentlighed og uafhængighed, alsidighed og mangfoldighed indhold. Men laves der godt public service-nyhedsarbejde alligevel? Svaret her er, at nyhederne i stort omfang lever op til de krav, der med rimelighed kan stilles om godt arbejde i offentlighedens tjeneste. Men nyhedsproduktionen er udsat for en række påvirkninger og tendenser, der betyder, at det gode arbejde ikke altid bliver gjort godt nok.
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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 | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.012 | 0.008 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.065 | 0.010 |
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".