Children’s perceptions of folktales and narration in Greece: Evidence from a novel micro-data set
Bibliographic record
Abstract
This paper presents the results of a novel survey of pupils in Greek schools regarding children’s opinions and ideas about folktales, as part of their culture, communication practices and as an educational tool. The survey was conducted during the school year 2004-2005 by scholars representing different scientific fields and universities. The sample consists of a large number of participants (2283 pupils from the last three classes of the Greek elementary school) and covers both urban and rural areas. The purpose of this paper is to explore the complex relation of children with the world of folktales as a means of reshaping through them the known world. Therefore both the survey questionnaire and the subsequent results examine the role of folktales in children’s cultural representations, family and intercultural relations and as part of the educational process. All these must be seen not only with the aim of utilizing folktales for educational purposes but also in designing the content, form, goals and methods of an alternative multicultural educational system.In addition to demographic and family background information, the questionnaire addresses the two primary potential contexts of folktale diffusion in modern times, one private (the space of home and family) and one public (the school). It also examines the impact of the cultural industry in the formation of these perceptions.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".