Piaget No `Remedy' for Kuhn, But the Two Should be Read Together
Bibliographic record
Abstract
In arguing that the philosophical works of Jean Piaget could be used as a `remedy' for the flaws in those of Thomas Kuhn, Tsou overlooked some crucial aspects of the problem: the early history between them, the biological foundation supporting Piaget's method, and a preexisting suggestion regarding the intended future extension of his work. There was also no mention of the existence of a `lost' manuscript by Kuhn, which supposedly presents the mature articulation of his theory. This comment therefore proposes some `friendly amendments' to Tsou's exposition, with a view to helping achieve his synthetic vision once the `lost' work has finally been published. Yet the basic message, in anticipation of this future endeavor, is also exceedingly simple: the implicit direction of Piaget's (and Kuhn's) epistemological constructivism can be characterized as evolutionary-developmental `progress from,' rather than vitalist-teleological `progress toward.'
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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 | 0.007 | 0.037 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.024 |
| Scholarly communication | 0.007 | 0.019 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.009 | 0.016 |
| Insufficient payload (model declined to judge) | 0.009 | 0.003 |
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".