Bibliographic record
Abstract
It was Metz’ project, as Baudry before him, to position the filmic apparatus within its ideological framework in order to expose the medium that had been hidden beneath a discursive concentration on content. Metz and Baudry did not only interrogate the machinery of the cinema – the camera, the projector, the screen, the theatre – but also the position that its subject assumed to it: The cinema’s audience was not an external element, but its constitutive suture. And it was not just that the film industry created this position to empty the pockets of her patron’s; for Baudry, it represented the fulfillment of a centuries old desire to obtain a realer-than-real, as first manifested in Plato’s creation of the hypothetical cave-come-prison. So too for Metz the cinema was “a veritable psychical substitute, a prosthesis for our primally dislocated limbs” (15). My analysis here is similar to that of Baudry and Metz, though its object is different. Here television is unearthed from its content, described in its function as a member of our bodies, psyches, and social environment.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.035 |
| Scholarly communication | 0.010 | 0.008 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".