Bibliographic record
Abstract
Greinin fjallar um hvernig fyrirbærin örlög og girnd eru notuð sem drifkraftur frá sagnar í Hrólfs sögu kraka (elstu handritin eru frá sautjándu öld). Í dæmunum sem hér eru tekin til athugunar beinist athyglin að lokaframvindu og orsakasamhengi frásagnarinnar. Í sögunni mótast lokaframvindan af forlagahyggju þegar skýringin á ósigri Hrólfs í orrustunni reynist vera sú að hann er ekki kristinn. Hugtakið auðna er margræðara. Í sögunni virðist það merkja guðdómlegt orsakavaldandi afl sem þó er öflugra en Óðinn. Orsakasamhengi frásagnarinnar er sérlega áberandi í kaflanum um föður Hrólfs, Helga. Misheppnuð tilraun hans til að kvænast Ólǫfu hefur keðjuverkandi áhrif; með því að nauðga Ólǫfu getur hann Yrsu og síðar, með Yrsu, getur hann Hrólf. Þegar upp kemst um sifjaspellin og í kjölfar aðskilnaðar Helga og Yrsu er rakin keðja orsaka og afleiðinga sem leiðir til átakanna milli Skuldar og Hrólfs í lokaorrustunni.
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.
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 | 0.001 | 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) | 0.001 | 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".