Trajectory of Reinvention of Witches: Its Politics, Appropriation and Popularization
Bibliographic record
Abstract
The archetype of witches has been an alluring instrument to inject ideologies through literary forms, the portrayal of which has taken a trajectory over the centuries- from negative to positive to neutral roles in its invention and reinvention through particularly, several popular drama series in the contemporary scenario, streamed over multiple over-the-top (OTT) platforms, wherein the representation of witches has become a sensational theme. This study intends to explore the divergence from Arthur Miller’s socio-political concerns in The Crucible (1953), to the contemporary creative adaptations of this subject matter in six popular American television/web series that have experimented with artistic freedom, through an analysis of the antagonistic, antifeminist, feminist perspectives as well as the saviour complex imposed on such fictional characters, through a new historicist angle, since such tales are a fusion of history and imagination. These narratives produce a counter ideology, though they may not be free from the chains of social conformity, appropriation, romanticized normalization, and the traps of culture industry. However, they blur the barriers between high and low culture, thereby revolutionizing the world of art.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.018 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".