The Feminists are Coming: A Critical Analysis of Melisandre and Feminism in Game of Thrones
Bibliographic record
Abstract
When it comes to platforms for people to express their opinions, the internet is a magical place. These opinions become present when people are talking about things they are passionate about, such as popular culture. One popular culture outlet that attracts internet chatter is the HBO television show Game of Thrones. The internet users become especially passionate about Game of Thrones when the topic of feminism is discussed. BuzzFeed articles such as “9 Ways ‘Game of Thrones’ Is Actually Feminist” are found along side Huffington Post articles titled, “My Feminist Opinions Ruined ‘Game of Thrones’ for My Boyfriend.” These two opposing views found side by side give us a clue to the relationship between feminism and Game of Thrones, and that clue is: it’s complicated.
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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 | 0.009 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.023 | 0.066 |
| Scholarly communication | 0.012 | 0.013 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.004 | 0.009 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".