Bibliographic record
Abstract
The so-called linguistic turn in philosophy intensified (rather than overcame) the rationalism that has haunted Western ideas about knowledge since antiquity. Orthodox accounts continue to present knowledge as a linguistic, logical quality, expressed in statements or theories that are well justified by evidence and actually true. Restating themes from the author's Knowledge and Civilization (2004a), I introduce an alternative conception of knowledge designed to overcome these propositional, discursive, logocentric presumptions. I interpret knowledge as a quality of artifacts. A surgical operation or a bridge may be as good examples of knowledge as any true scientific proposition or theory. I define the quality that marks an artifact as a work of knowledge as superlative artifactual performance. To explain knowledge in these terms is not to offer a metaphysical or epistemological theory of its essence or concept. Instead, I am explaining knowledge in terms of its good, its value, the human point of caring to know.
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 | 0.007 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.005 | 0.073 |
| Scholarly communication | 0.012 | 0.016 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".