Artur Skweres, McLuhan’s Galaxies: Science Fiction Film Aesthetics in Light of Marshall McLuhan’s Thought, Cham: Springer, 2019, pp 110
Bibliographic record
Abstract
The first association that may come to mind when we juxtapose Marshall Mcluhan's media theory and the movies is one of the scenes from Annie Hall, a Woody allen film from the late 1970s. In this scene, the protagonists, played by the film's director and Diane Keaton, are standing in line at the box office next to a man who is excitedly telling his partner about a theory of the Canadian thinker. When allen interrupts this particularly annoying monologue and accuses him of completely misrepresenting Mcluhan's theses, the outraged man announces that he knows what he is talking about because he teaches a course on television, media, and culture at Columbia university in New York. at that moment, quite unexpectedly, of course, the professor from Toronto appears in the cinema hall in person and -with characteristic self-mockery -says to the astonished academic: "I heard what you were saying. You know nothing of my work. You mean my whole fallacy is wrong.
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 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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".