Bibliographic record
Abstract
Kritický racionalismus je v české akademické diskusi spojován především se jménem sira Karla R. Poppera. Cílem tohoto článku je komparativně rozšířit tento obraz prostřednictvím myšlenek Hanse Alberta, Popperova následovníka v německé jazykové oblasti. Konkrétně bude diskutována problematika rozlišení kontextu objevu a kontextu zdůvodnění. Na základě vybraných problémů, s nimiž se Popper nedokázal zcela vypořádat, bude ukázáno, jak tyto problémy do své koncepce involvuje a jak je řeší Albert. Zajímavý na tomto srovnání je především fakt, že Albert pojímá původně filosoficko-vědní problémy v širším filosofickém rámci. Díky tomu se mu podařilo uchopit kritický racionalismus – jak sám Popper uznal – s odstupem a v nových souvislostech. In the Czech academic environment, the critical rationalism is associated above all with the name of Sir Karl R. Popper. The aim of this paper is to comparatively extend this view via thoughts of Popper’s German follower Hans Albert. Specifically, the issue of the distinction between context of discovery and context of justification will be discussed here. Against the background of selected problems, which Popper did not adequately solve, I will demonstrate how Albert involves these problems in his own conception and how he solves them. The interesting fact about this comparison is that Albert approaches the originally philosophical-scientific problems in a wider philosophical context. Thanks to this wider context he grasps the critical rationalism from a distance and in new connections, as Popper accepted himself.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.013 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".