Bibliographic record
Abstract
Actor-network theory, material semiotics, the sociology of translation… The precise name of the domain in question is not itself entirely stable, and rightly so. In the ANT scheme of things, society is far less stable, representation and governance considerably more disputed, and order quite a bit more precarious, than most other frameworks would allow. Flux and impermanence are minor and tangled threads running throughout the history of the Western political imaginary: from Heraclitus and Lucretius to Nietzsche and Deleuze. No other research framework has married this minor current with empirical inquiry in a manner that is as thorough, practical, and relentlessly materialist as ANT. Bringing the Heraclitean worldview down to earth is one of its foremost accomplishments. While ANT scholarship has seen certain prominent attempts to define and delimit it as an approach (Latour ), others have resisted this move (Law ), insisting that we keep things fluid. We side quite definitely with this latter position. It seems to us utterly consistent with the epistemology that ANT has done so much to advance. Not another school, another theory to be imported, but an open-ended play of translation.
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 | 0.010 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.008 | 0.053 |
| Scholarly communication | 0.016 | 0.015 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.013 | 0.004 |
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".