New Narratives, Racialization, Global Crises, and Social Engagement
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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.
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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it