Pictures that do not really exist: Mitigating the digital crisis in traditional animation production
Bibliographic record
Abstract
The period between 1994 and 2004 was a unique moment in time for the TV animation community. It was a time of transition, when the introduction of digital tools caused irreversible changes to long-established 2D animation production pipelines. These new digital pipelines altered the time-honoured traditional roles of ‘old timers’ (senior artists) and ‘new comers’ (junior artists) and caused unparalleled revisions to conven¬tional production models. This article uses Lave and Wenger’s concept of ‘legitimate peripheral participation’ and Basil Bernstein’s ideas on ‘trainability’ and ‘recontextualization’ to discuss the changes brought on by the introduction of digital applications to a community of practice in flux. It focuses on the Toronto animation community as a microcosm of a global experience and uses Nelvana – one of Canada’s most influential and successful animation production companies – as a case study. By means of an interpretive phenomenological approach it analyses and evaluates the crisis during this period of time and describes the animation artists passage from resenting change to directing change within their industry and community.
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.009 |
| 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 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".