The Animator: The 26th Society for Animation Studies Annual Conference Toronto June 16 to 19, 2014
Bibliographic record
Abstract
The 2014 Society for Animation Studies conference hosted by Sheridan College was from June 16 - 19, 2014. As Animation Studies continues to develop as a discipline, the dialogue that has opened up between more traditional academic research into the field and what we might call ‘industry-facing’ or applied research has become more important. The critical study of animation from within higher education institutions like Sheridan represents one of the many areas in which the industry can grow. Every SAS conference has its own distinct tone and flavour because we are truly international in our membership and we devolve conference organization annually to the host institution. This means that this year’s conference is strongly allied to Sheridan’s industry focus – not least with Corus warmly welcoming conference goers to their HQ for parts of the conference.\nSAS provides such a welcoming environment for new members, and a terrific forum to discuss animation from a multitude of perspectives. It is within this fertile and nurturing atmosphere that we decided to focus our conference on the animation artist. As a tribute to all artists whose efforts fuel our work, and in the spirit of the centenary of celebrated National Film Board of Canada animator, Norman McLaren, the 2014 SAS Conference is named “The Animator”.\nKeynote speakers included Scott Dyer, Executive Vice President, Strategic Planning and Chief Technology Officer, Corus Entertainment Charile Bonifacio, Animator, Arc Productions Ltd, Canada Professor Paul Wells, Director of the Animation Academy Loughborough University, UK Michael Fukushima, Executive Producer of NFB’s English Animation Studio National Film Board of Canada \nPanel Discussions McLaren Legacy Panel: The Centenary Year - Nichola Dobson, Terence Dobson, Kaj Pindal Stop Motion, From Local Community Members - Chris Walsh, Bret Long, Nora Keely, Mark Mayerson \nConference Twitter account: @AnimatorSAS2014
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.418 | 0.162 |
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".