Bibliographic record
Abstract
Google is a complex and complicated political beast with a significant, and often confusing, interest, in copyright matters. On the one hand, for example, Google is widely accused of profiting from piracy. On the other, Google routinely complies with what is rapidly approaching a billion copyright takedown requests annually. In the present article, Foucault, neo-Gramscians, and Deleuze and Guattari, are utilized to help construct a 3² dispositive analysis framework that overlaps three dispositive modalities (law, ethical, utilitarian) and perspectives (apparatus, articulation, assemblage). In applying the framework to the Google-copyright relationship, the article shows how Google was ‘born political’: in that it was, and still is, disposed, by an apparatus comprised of copyright laws, Silicon Valley culture, and broad advances in digitization. Moreover, the article shows how Google continuously acts where ‘politics is born’: as it significantly shapes copyright considerations by disposing of (non-)human and organizational phenomena through articulations and assemblages.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".