Dialecticism across the Lifespan: Towards a Deeper Understanding of the Ontogenetic and Cultural Factors Influencing Dialectical Thinking and Emotional Experience
Bibliographic record
Abstract
Before dialecticism became a topic of empirical inquiry in cultural psychology, scholars in related disciplines has discussed dialecticism as a model of human development, as an essential component of maturity and wisdom. This review chapter bridged these two perspectives, comparing conceptualizations of dialecticism in developmental and cultural psychology. After reviewing historical portrayals of dialecticism in various philosophical traditions, this chapter provides comparison of historical characterizations with the contemporary treatment of dialecticism in human development and cultural psychology. Both streams -- developmental and cross-cultural -- are proposed as essential for an integral understanding of the construct. Subsequently, the chapter discusses the emerging developmental models of dialecticism across the lifespan and reviews the accompanying empirical evidence, situating it in a cross-cultural context. It concludes with an outline of future directions of research on dialectical thought, with attention to psychological and socio-cultural processes engendering dialecticism across the lifespan.
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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 | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.021 |
| Scholarly communication | 0.009 | 0.013 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".