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Record W2069546259 · doi:10.5539/res.v2n2p67

Children’s perceptions of folktales and narration in Greece: Evidence from a novel micro-data set

2010· article· en· W2069546259 on OpenAlexvenueno aff
Ilias Athanasiadis

Bibliographic record

VenueReview of European Studies · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicLiteracy, Media, and Education
Canadian institutionsnot available
Fundersnot available
KeywordsMulticulturalismPerceptionNarrativeSet (abstract data type)Space (punctuation)Sample (material)PsychologyQuestionnaireSociologyPedagogyMathematics educationSocial scienceLiteratureLinguistics

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.788
Threshold uncertainty score0.272

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.140
GPT teacher head0.354
Teacher spread0.214 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2010
Admission routes1
Has abstractyes

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