Children’s Narratives as a Space for Manifestation and Way of Diagnostics of Creative Abilities of Senior Preschoolers
Bibliographic record
Abstract
This paper discusses the approbation of an assessment tool for the creative abilities of preschoolers — dialectical structures and symbolic images — on the basis of children's narratives. Fifty-seven preschoolers of 6—7 years old from two preschool groups in Moscow took part in the approbation of the “Three Stories” technique. The groups contrasted in the quality of education, The significance of differences between the classrooms was defined using ECERS-3 and CASRS (Creative Ability Support Rating Scale). We analyzed whether there is a connection between the success of creating narratives and the results of diagnosing dialectical thinking, symbolic realism of imagination and creativity. In the approbation of the “Three Stories” technique, significant correlations were revealed between successful use of dialectical structures in a story-making and the results of diagnostics of dialectical thinking. The latter was executed with two corresponding tools: "What can be simultaneously?" (p=0,01) and "Dialectical stories" (p=0,05). Both dialectical structures and symbolic images in children's narratives demonstrated significant differences in contrasting groups (p=0,05). This approbation substantiated the validity of the technique for the study of creative abilities on the ground of children's narratives. The study allows us to consider children's narratives in terms of their resource for understanding and diagnosing (and, in the future, developing) the creative abilities of preschoolers.
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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".