Bibliographic record
Abstract
RESUMEN En este artículo expongo y analizo la propuesta berkeleyana del conocimiento nocional, que representa entre otras cosas el intento del irlandés por conocer a la mente o espíritu, esto es, a aquella cosa pensante y activa que por su propia actividad resulta irrepresentable como idea. Como el conocimiento nocional ya se menciona en los Comentarios Filosóficos me remitiré a ellos para conocer los orígenes del mismo; sin embargo, como tal conocimiento aparece con mayor detalle en obras posteriores me serviré sobre todo del Tratado para abordar la compleja doctrina nocional.ABSTRACT In this paper I expose and analyze the berkeleian proposal of notional knowledge. Among other things, this proposal represents Berkeley´s attempt to know the mind or spirit, that is, the thinking and active thing that, by its own activity, results unrepresentable as idea. As such knowledge is already mentioned in the Philosophical Commentaries I will refer to them to know the origins of that proposal. However, as notional knowledge appears in more detail in later works I will make use especially the Treatise to tackle the complex notional doctrine.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.020 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.012 | 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".