Bibliographic record
Abstract
Abstract Richard Grusin's concept of premediation —a term coined in response to changes in the nature of mediation after 9/11—both differs from and extends the meaning of the term remediation , coined in the late 1990s in response to a mediascape radically altered by digital technologies of (re)production. Where remediation operates with a double logic of immediacy and hypermediacy, premediation operates according to its own double logic: affect and mediality. In transforming past media, remediation disavows its own formal processes (immediacy) even as it draws attention to them (hypermediacy). Premediation is predicated upon the understanding that media such as the Internet are not merely symptomatic of contemporary life but play an active role in shaping the world as we experience it every day. Premediation's profoundest effects are not affective but moral, not ontological but epistemological, as, in projecting possible futures, it sheds new light upon contemporary mutations in subjectivity.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.004 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".