Constructive history: From the standard theory of stages to Piaget’s new theory
Bibliographic record
Abstract
This project demonstrates how Historians of Psychology can contribute to the future of Psychology from within the Department of Psychology (rather than from departments of History, the History and Philosophy of Science, or Science and Technology Studies). To do this, I focus on the claim that Jean Piagets last works constitute a new theory, while also showing how this labelling was appropriate. This is discussed briefly in the introduction. The first chapter is also quite simple: it follows the turn toward locality, and uses autobiography to show why a psychologist might want to pursue advanced training in history. This approach is then reflected in the second chapter, where Piagets autobiography is used to situate what followed in his own studies. The third chapter reflects this at an again-higher level, comparing an American history of Piagets biography with a Genevan history (but augmented with new archival research). In addition to revealing new details about his life, this also highlights a difference in historiographical sensibilities at work in shaping the discipline. The fourth chapter then shows that this generalizes. It reviews the most famous case of an instance where a series of texts were indigenized during their importation into American Psychology (viz. Titcheners importation of Wundt). To confirm that the same thing occurred with Piaget, I introduce a new technique inspired by the Digital Humanities. In short: I show in quantitative terms acceptable to Psychologists what Historians would be more inclined accept from a study of primary sources. Two examples of this more-traditional kind of history are then presented. In chapter five, I consider a change in Piagets appeals to a formalism associated with Kurt Gdel. In chapter six, I look at how this change informed Piagets return to biology (and his subsequent updating of the Baldwin Effect). And the conclusion re-examines the original claim in light of everything else discussed. The ultimate result, though, is not only a new way to consider Piagets standard theory of stages. I also present a new way to understand his broader view of the development of knowledge. This also in turn informs a new way of doing history, presented in the Appendix.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.005 | 0.034 |
| Scholarly communication | 0.007 | 0.018 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.011 | 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".