Neuropedagogika wśród dyscyplin naukowych – próba doprecyzowania nazewnictwa
Bibliographic record
Abstract
Chojak Małgorzata, Neuropedagogika wśród dyscyplin naukowych – próba doprecyzowania nazewnictwa [Neuropedagogy Among Scientific Disciplines – an Attempt to Clarify Terminology]. Studia Edukacyjne nr 56, 2020, Poznań 2020, pp. 369-384. Adam Mickiewicz University Press. ISSN 1233-6688. DOI: 10.14746/se.2020.56.20In the last two decades, more and more publications pedagogical and psychological referring to researchin the field of neurobiology. They appear in them new concepts and names of new disciplines such as neuropedagogy, neurodidactics or educational neuroscience and neuropsychology education. The US, the UK and Canada have attempted to standardize terminology and to clarify the scope of research across disciplines. This publication is not only an attempt to present the theoretical concept of the origin and interrelationships of newly established disciplines based on international scientific sources. The author has decided to embed analyses on the specifics of Polish terms to propose names for an interesting and new field known as Mind, Brain and Education (MBE).
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".