The French Connection: Some Contributions of French-Language Research in the Post-Piagetian Era
Bibliographic record
Abstract
This article presents French-speaking researchers' contribution to the field of differential developmental psychology. Following a brief review of key Piagetian ideas pertaining to his conceptualization of individual differences, the core of the article traces methodological and theoretical transformations that were necessary for understanding individual differences within a general theory of cognitive development. On a methodological level, French-speaking researchers went from standardizing Piaget's clinical method to constructing developmental scales and operational tests. On a theoretical level, Reuchlin's writings guided Longeot, and several other French (Lautrey and Bideaud) and Genevan (de Ribaupierre and Rieben) researchers into a scientific quest for a genuine integration of differential and developmental psychology. We present an overview of the pluralistic and multidimensional model of cognitive functioning and development that emerged from the work of the French-Swiss team of researchers. Concluding remarks focus on the actual research agendas of researchers interested in resolving the challenging issue of understanding relationships between inter- and intraindividual differences and general tendencies in cognitive development.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".