Bibliographic record
Abstract
The Canadian artist Atom Egoyan (b. 1960) is perhaps best known for his sustained inquiry into the nature of the image and the technology of the screen. From early films such as Open House (1982), which features a man projecting slides onto bed sheets in his own home, to features such as Family Viewing (1987) and Speaking Parts (1989) in which television and home video screens begin to proliferate as they are at once framed by and engulfing the cinematic image, to films such as The Adjustor (1991) and Calendar (1993) in which photographs take on fetishistic qualities, to a project he is working on at the time of this writing (2007) in which two characters in different movie theatres send images of what they are watching to each other over their cell phones, Egoyan has consistently set out to explore our relationships to the dominant image-making technologies of our time. The complexity with which he treats the image and image-making has been amply treated in the critical literature about his work. However, I wish to make the case that Egoyan has also offered a sustained inquiry into the workings of languages and translation, work which is all the more important because at this time, much of the critical literature on globalization, transnationalism, migrancy, and diaspora is surprisingly silent on these questions, as indeed is much of the literature on Anglophone Canadian cinema.
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.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.030 | 0.043 |
| Scholarly communication | 0.012 | 0.007 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 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".