Bibliographic record
Abstract
In chapters two and three of this thesis, the distinction between the subject and object of knowledge and perception in Kant's Critique of Pure Reason is examined in terms of what Kant calls, "representations." These representations are not, in general, as the name might suggest, pictures in the mind, or copies of objects. They are isolated bits of information which the mind has about the world; or, in other words, elementary ways in which the subject is related to the objects which it knows or perceives. The subject is constituted by the grouping of representations into different kinds of representations, mainly on the basis of similarities, so that we have the same sorts of information about different objects. The object is that which representations relate to when select representations of many different kinds are combined, mainly on the basis of coherence, so that we have different sorts of information about the same object. Chapter one is devoted to Kant's doctrine of the object in itself, which is discussed in terms of the distinction between knowledge and belief. Objects in themselves are objects apart from our representations of them. In spite of the fact that they cannot be known, objects in themselves are significant insofar as the false belief that we can know them is an inevitable result of the capacity of the subject to combine representations in different ways, including the combination of representations in the concept of an unknowable object.
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 | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.036 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".