Baba Yaga, Monsters of the Week, and Pop Culture’s Formation of Wonder and Families through Monstrosity
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
This paper considers transforming forms and their purposes in the popular culture trope of the televised Monster of the Week (MOTW). In the rare televised appearances outside of Slavic nations, Baba Yaga tends to show up in MOTW episodes. While some MOTW are contemporary inventions, many, like Baba Yaga, are mythological and fantastic creatures from folk narratives. Employing the concept of the folkloresque, we explore how contemporary audiovisual tropes gain integrity and traction by indexing traditional knowledge and belief systems. In the process, we examine key affordances of these forms involving the possibilities of wonder and the portability of tradition. Using digital humanities methods, we built a “monster typology” by scraping lists of folk creatures, mythological beasts, and other supernatural beings from online information sources, and we used topic modeling to investigate central concerns of MOTW series. Our findings indicate connections in these shows between crime, violence, family, and loss. The trope formulates wonder and families through folk narrative and monster forms and functions. We recognize Baba Yaga’s role as villain in these episodes and acknowledge that these series also shift between episodic and serial narrative arcs involving close relationships between characters and among viewers and fans.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 it