Embodied Genetics in Science-Fiction, Big-Budget to Low-Budget: from Jeunet’s Alien: Resurrection (1997) to Piccinini’s Workshop (2011)
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
Abstract The article uses and revises to some extent Vivian Sobchack’s categorization of (basically) American science-fiction output as “optimistic big-budget,” “wondrous middle-ground” and “pessimistic low-budget” seen as such in relation to what Sobchack calls the “double view” of alien beings in filmic diegesis (Screening Space, 2001). The argument is advanced that based on how diegetic encounters are constructed between “genetically classical” human agents and beings only partially “genetically classical” and/or human (due to genetic diseases, mutations, splicing, and cloning), we may differentiate between various methods of visualization (nicknamed “the museum,” “the lookalike,” and “incest”) that are correlated to Sobchack’s mentioned categories, while also displaying changes in tone. Possibilities of revision appear thanks to the later timeframe (the late 1990s/2000s) and the different national-canonical belongings (American, Icelandic-German- Danish, Hungarian-German, Canadian-French-American, and Australian) that characterize filmic and artistic examples chosen for analysis as compared to Sobchack’s work in Screening Space.1
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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