What’s in a Title? Some Remarks on the Semantic Features of Kenning-Like Titles in George R. R. Martin’s <i>A Song of Ice and Fire</i> Series
Bibliographic record
Abstract
Abstract Working on the hugely successful series of novels known collectively as A Song of Ice and Fire , George R. R. Martin is known to have drawn much of his inspiration from real-life events, landmarks in the history of the Middle Ages, such as the Hundred Years’ War, the Wars of the Roses, and the Crusades. It is not known, however, to what degree he actually relies in his work on sources of genuinely medieval provenance, since he himself frequently admits that amongst those that made the biggest impact on his writing are modern works of fiction, such as Maurice Druon’s heptalogy Les Rois maudits (2019 [1955–1977]). It is not impossible, though, that at least some features of Martin’s series have more or less direct parallels in medieval literature. One such element may be so-called kennings, the highly-stylised circumlocutions found in plenty in the poetic works of early Germanic literature and whose diction appears to shine through some of the series’ titles.
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 | 0.000 | 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) | 0.000 | 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".