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Record W3191860782 · doi:10.5539/ies.v14n8p84

The Opinions of Preschool Teachers Regarding the Values of Turkish Children and Syrian Refugee Children

2021· article· en· W3191860782 on OpenAlexvenueno aff
Ayşe Duran Yılmaz, Esra Ömeroğlu

Bibliographic record

VenueInternational Education Studies · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and experiences of immigrants and refugees
Canadian institutionsnot available
Fundersnot available
KeywordsTurkishPsychologyRefugeeHelpfulnessQualitative researchContent analysisFriendshipSyrian refugeesDevelopmental psychologyPedagogySocial psychologySociologySocial scienceGeography

Abstract

fetched live from OpenAlex

The purpose of the study is to determine the opinions of preschool teachers regarding the values of Turkish children and Syrian refugee children. Phenomenology design, one of the qualitative research methods, was used in this study. The study group of the research consisted of twenty-four pre-school teachers working in different cities, namely Adıyaman, Kilis, Şanlıurfa, Gaziantep, and Hatay, where refugees live intensely. Purposeful sampling method was used to determine the participants of the study. The data of the study were obtained by using semi-structured interview form. The analysis of the data of the research was made by deductive content analysis. The findings of this research reveal that Turkish children and Syrian children generally show similarities behaviors according to the values of respect, responsibility, cooperation, friendship, and helpfulness. In addition, it has been stated that Turkish children and Syrian children display negative behaviors according to the values of self-control and tolerance.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0030.003
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.023
GPT teacher head0.391
Teacher spread0.369 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2021
Admission routes1
Has abstractyes

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