History and the relationship between scientific and pedagogical knowledge: anatomy lectures then and now
Bibliographic record
Abstract
In recent years, school science has been the target of increasing critique for two reasons. On the one hand, it is said to enforce ‘epic’ images of science that celebrate the heroes and heroic deeds that established the scientific canon and its methods and thereby falsifies the history and nature of science. On the other hand, the sciences are presented as objective, making factual statements independent of location and time—a claim that runs counter to the current mainstream canon of scientific knowledge as socially and individually constructed. In this article, we suggest that contexts leading to new scientific knowledge make science objective and subjective simultaneously. Our approach, which focuses on the performative dimensions of (school) science, works to overcome the distinctions between knowledge and knowing and the associated distinction between theory and practice. We show the significance of the performative dimension through a comparison of anatomy lectures and texts from the 17th century and in present-day biology classrooms. We underscore the need to retain and investigate the historical connections between the founding of (scientific) knowledge and its present-day form taught in schools.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.017 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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".