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Record W4390693053 · doi:10.55016/ojs/ajer.v69i4.72810

Teachers’ Experiences on Refugee Education and Their Views on Refugees’ Social Inclusion: Case of Turkey

2023· article· en· W4390693053 on OpenAlexvenueno aff
Hakan Topaloğlu, Murat Özdemir

Bibliographic record

VenueAlberta Journal of Educational Research · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and experiences of immigrants and refugees
Canadian institutionsnot available
Fundersnot available
KeywordsRefugeeInclusion (mineral)TurkishImmigrationPedagogySociologyPsychologyPolitical scienceGender studiesLaw

Abstract

fetched live from OpenAlex

This study had two aims: first, to reveal the experiences of educators who work with refugee students in Samsun (Turkey); and second, to divulge the views these teachers have on the social inclusion of refugees. The research was designed using a case study approach; 18 individuals participated in the research, who were selected from 12 schools within the criterion sample. A semi-structured interview form was utilized to collect data, which were analyzed using a content analysis approach. Some participants indicated that some refugee students were indifferent toward their lessons, would act in violent ways at school, experienced academic inadequacies, and possessed language and communication issues. Other teacher-participants pointed out that refugee students suffered from discrimination at school. In a general sense, the participants had a positive attitude towards refugee social inclusion, and they believed that refugees should be given employment opportunities; but refugees should also learn about Turkish culture and values. The study concluded that an equal distribution of refugees across schools and residential areas is necessary and that organizing events where refugees and Turkish citizens can join together provides the whole society with opportunities to learn about multiculturalism, which in turn can accelerate social inclusion. Keywords: Refugee, immigrant, social inclusion, discrimination, access to education. Cette étude avait deux objectifs : premièrement, révéler les expériences des éducateurs qui travaillent avec des étudiants réfugiés à Samsun (Turquie) ; et deuxièmement, rendre compte des points de vue de ces enseignants sur l'inclusion sociale des réfugiés. La recherche a été conçue selon une approche d'étude de cas ; 18 personnes ont participé à la recherche et ont été sélectionnées dans 12 écoles de l'échantillon de référence. Un formulaire d'entrevue semi-structurée a été utilisé pour collecter les données, qui ont été analysées à l'aide d'une méthode d'analyse de contenu. Certains participants ont indiqué que certains étudiants réfugiés étaient indifférents à leurs cours, agissaient de manière violente à l'école, présentaient des lacunes scolaires et avaient des problèmes de langue et de communication. D'autres enseignants-participants ont souligné que les étudiants réfugiés souffraient de discrimination à l'école. D'une manière générale, les participants avaient une attitude positive à l'égard de l'inclusion sociale des réfugiés, et ils pensaient qu’on devrait offrir aux réfugiés des possibilités d'emploi, mais que ceux-ci devaient aussi apprendre la culture et les valeurs turques. L'étude conclut qu'une répartition égale des réfugiés dans les écoles et les zones résidentielles est nécessaire et que l'organisation d'événements où les réfugiés et les citoyens turcs peuvent se rencontrer donne à l'ensemble de la société l'occasion d'apprendre le multiculturalisme, ce qui à son tour peut accélérer l'inclusion sociale. Mots clés : réfugié, immigrant, inclusion sociale, discrimination, accès à l'éducation.

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)0.003
metaresearch head score (Gemma)0.003
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 score0.017
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0150.007
Scholarly communication0.0040.003
Open science0.0010.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.095
GPT teacher head0.482
Teacher spread0.387 · 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

Citations4
Published2023
Admission routes1
Has abstractyes

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