Mixanthropic characters and their role in the graphic novel ‘Angel Catbird’ by M. Atwood
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
The aim of the study is to determine why the famous Canadian writer Margaret Atwood turns to mythological characters that have a hybrid, or mixanthropic, appearance in her graphic novel ‘Angel Catbird’ (2016). The paper examines the history of the development of the comic book genre and its special format, the graphic novel; emphasis is also placed on the different attitudes to this genre among Russian and foreign researchers. Moreover, the features of M. Atwood’s graphic novel ‘Angel Catbird’ and its differences from other works in this genre are considered. The study concludes with an analysis of the nature of the main characters and their connection not only with human nature (in a narrow sense), but also with the peculiarities of the development of Canadian literature and culture in general (in a broad sense). The scientific originality of the study lies in the fact that the paper considers the system of images of the novel ‘Angel Catbird’ from the perspective of the duality of their consciousness and mixanthropic appearance. In addition, it is the first time that M. Atwood’s graphic novel has been analysed taking into account the use of mythological images and traditions of different peoples. As a result, it has been proved that the use of mixanthropic characters in the graphic novel is linked to the multifunctionality of their images.
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 | 0.002 | 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