Performativity, Cultural Construction, and the Graphic Narrative
Bibliographic record
Abstract
"Performativity, Cultural Construction, and the Graphic Narrative draws on performance studies scholarship to understand the social impact of graphic novels and their sociopolitical function. Addressing issues of race, gender, ethnicity, race, war, mental illness, and the environment, the volume encompasses the diversity and variety inherent in the graphic narrative medium. Informed by the scholarship of Dwight Conquergood and his model for performance praxis, this collection of essays makes links between these seemingly disparate areas of study to open new avenues of research for comics and graphic narratives. An international team of authors offer a detailed analysis of new and classical graphic texts from Britain, Iran, India, and Canada as well as the United States. Performance, Social Construction and the Graphic Narrative draws on performance studies scholarship to understand the social impact of graphic novels and their sociopolitical function. Addressing issues of race, gender, ethnicity, race, war, mental illness, and the environment, the volume encompasses the diversity and variety inherent in the graphic narrative medium. This book will be of interest to students and scholars in the areas of communication, literature, comics studies, performance studies, sociology, languages, English, and gender studies, and anyone with an interest in deepening their acquaintance with and understanding of the potential of graphic narratives."--Publisher's description
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.
How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".