Bibliographic record
Abstract
One of the most representative aspects of fiction films that address the COVID-19 pandemic is the insistent appearance of electronic devices (laptops, tablets, smartphones) to allow virtual communication between the main characters of the story. I claim that, in those films, the use of these devices and the images they produce is different from those that appeared in pre-pandemic cinema, and, as such, conveys different meanings to the filmed images. In order to explore these ideas, I will first study the ontology of phone footage imagery, to establish the main traits of this type of image. Afterwards, I will signal the differences between pre-pandemic and pandemic phone footage imagery, in order to understand the key formal traits that imply different meanings for each case. Finally, by analyzing some of the most relevant commercial films about the COVID-19 pandemic that have been produced so far (Songbird (2020), Locked Down (2021), Safer at Home (2021), Host (2020), and Ctrl+Alt+Trick/treat (2020)), I will intend to prove that in these fictions phone footage (as opposed to other electronic-device footage) addresses the desire to gain certain freedom in a scenario of confinement.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.009 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 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".