New Narratives, Racialization, Global Crises, and Social Engagement
Bibliographic record
Abstract
These published proceedings draw from the various and impressive contributions to the III Interactive Film and Media Conference in August 2021. They are organized into five sections according to theme. In the first two sections, the papers concentrate on social engagement. The first set of papers focuses on racism in the time of COVID-19, indigenous identity and incarceration. The second involves interactive responses to social issues such as migration, sexual harassment, and refugees. Sections three and four foreground debates about the levels of interactivity experienced in films and games. In the third set of papers, the authors focus on the medium’s capacities to involve the player or the user in interactivity, while papers comprising the fourth set question the process of immersion and explore levels of interactivity more fully. Finally, in the fifth and final section, the papers focus on the environment of digital art, literature, and media, challenging our understanding of what is an “art” and “literature,” and what is “human” in a digital world. Here we invite you to explore the published papers in the proceedings from the #IFM2021 Virtual Conference.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.007 | 0.011 |
| Scholarly communication | 0.017 | 0.012 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.012 | 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 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".