Anime Studies: Media-Specific Approaches to Neon Genesis Evangelion
Bibliographic record
Abstract
Anime Studies: Media-Specific Approaches to Neon Genesis Evangelion aims at advancing the study of anime, understood as largely TV-based genre fiction rendered in cel, or cel-look, animation with a strong affinity to participatory cultures and media convergence. Taking Neon Genesis Evangelion (Shin Seiki Evangerion) as a case study, this volume acknowledges anime as a media form with clearly recognizable aesthetic properties, (sub)cultural affordances and situated discourses. First broadcast in Japan in 1995-96, Neon Genesis Evangelion became an epoch-making anime, and later franchise. The initial series used already available conventions, visual resources and narrative tropes typical of anime in general and the mecha (or giant-robot) genre in particular, but at the same time it subverted and reinterpreted them in a highly innovative and as such standard-setting way. Investigating anime through Neon Genesis Evangelion this volume takes a broadly understood media-aesthetic and media-cultural perspective, which pertains to medium in the narrow sense of technology, techniques, materials, and semiotics, but also mediality and mediations related to practices and institutions of production, circulation, and consumption. In no way intended to be exhaustive, this volume attests to the emergence of anime studies as a field in its own right, including but not prioritizing expertise in film studies and Japanese studies, and with due regard to the most widely shared critical publications in Japanese and English language. Thus, the volume provides an introduction to studies of anime, a field that necessarily interrelates media-specific and transmedial aspects. In Anime Studies: Media-Specific Approaches to Neon Genesis Evangelion, anime is addressed from a transnational and transdisciplinary stance. The disciplinary and methodological perspectives taken by the individual chapters range from audio-visual culture, narratology, performance and genre theory to fandom studies and gender studies. In its first part, the book focuses on textual analysis and media form in the narrow sense with regard to filmic media, bank footage, voice acting and musical score, and then it broadens the scope to consider subcultural discourse, franchising, manga and video game adaptations, as well as critical and affective user engagement.
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 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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.005 | 0.020 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".