A Song of Fantasy Traditions: How A Song of Ice and Fire Subverts Traditions of Women in Tolkienesque Fantasy
Bibliographic record
Abstract
George R.R. Martin’s A Song of Ice and Fire consists of a planned seven books, of which five have been published, A Game of Thrones (AGoT), A Clash of Kings (ACoK), A Storm of Swords (ASoS), A Feast for Crows (AFfC), and A Dance with Dragons (ADwD). Women have often been pushed to the margins in the fantasy genre. J.R.R. Tolkien’s The Lord of the Rings trilogy stands as the foundation for a particular subgenre of fantasy, and a tradition of focusing almost exclusively on male characters begins with Tolkien as well. Martin’s A Song of Ice and Fire series continues the fantasy genre in the mode of Tolkien and retains many of the same qualities, but differs in its portrayal of women.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.020 | 0.023 |
| Scholarly communication | 0.012 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".