Bibliographic record
Abstract
Most of the chapters included in this volume have first been presented at two conference symposia, one organized for the Biennial Meeting of the Society for Research in Child Development that took place in Minneapolis in April 2001 and the other organized for the Xth European Conference on Developmental Psychology that took place in Uppsala, Sweden, in August 2001. Both of these symposia focused on the nature of cognitive developmental change from a number of different perspectives and were dedicated to the memory of the late Robbie Case who died suddenly a year earlier in Toronto. As organizers of these symposia and editors of this volume we are grateful to all of our contributors for their participation in this project, and for their cooperation in the long and cumbersome process of the editing of the chapters in their present form. We are also grateful to the University of Cyprus for the financial support that made possible both our participation in the two symposia above and the preparation of the volume itself. The book is dedicated to the memory of Robbie Case, an inspired, original, and deep developmental thinker whose work has widened our understanding of cognitive development and has opened new conceptual and methodological roads in developmental cognitive science. His untimely death at the age of fifty-six deprived the field of an incisive forward looking mind at the peak of his personal and epistemic maturity and his family and friends of his warm and always enriching presence.
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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 | 0.001 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.215 | 0.117 |
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".