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
I lande som Sverige, Tyskland og Canada har statsledere undskyldt for statens rolle i bl.a. folkemord og tvangsfjernelse af oprindelige folks børn. I Danmark er der ikke præcedens for statslige undskyldninger, men i 2019 gav den nyvalgte statsminister Mette Frederiksen (S) en officiel undskyldning til tidligere anbragte på børnehjem og lod forstå, at hun var villig til at undskylde i andre sager om statslig misrøgt af socialt udsatte. Fordi genren er ny, og fordi det ofte har været et argument mod at undskylde, at det var der ikke tradition for i Danmark, diskuterer og sammenligner dette kapitel de fortilfælde, som er blevet påberåbt i den danske debat om officielle undskyldninger og munder ud i en analyse af Mette Frederiksens undskyldning. Dette kapitel handler altså om en ny dansk talegenres udvikling.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it