Meaning and Mind from the Perspective of Dualist versus Relational Worldviews: Implications for the Development of Pointing Gestures
Bibliographic record
Abstract
Worldviews consist of preconceptions about the nature of mind, knowledge, and meaning, and these assumptions influence theorizing about human development and the interpretation of research. We outline two contrasting worldviews - dualist versus relational - and explicate the implications of such preconceptions for studying the development of pointing gestures. Pointing is a pivotal social skill that is an aspect of social understanding, as well as a foundational form of interaction for language. In studying the development of pointing it is possible to observe how infants develop the social skills required to convey meaning in human ways. Thus, this is an area in which to examine the nature and development of meaning, and an adequate conception of meaning is necessary for theories of language and cognition. We argue that dualist approaches have problems that can be avoided by adopting a relational worldview and the relational developmental systems framework that follows from it, which we suggest is a fruitful approach to theorizing about human 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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.044 |
| Scholarly communication | 0.007 | 0.017 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".