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Record W2973153065 · doi:10.1037/pac0000424

Children’s understanding of ethnic group symbols: Piloting an instrument in the Republic of North Macedonia.

2019· article· en· W2973153065 on OpenAlexfundno aff
Ana Tomovska Misoska, Laura K. Taylor, Jocelyn Dautel, Risa Rylander

Bibliographic record

VenuePeace and Conflict Journal of Peace Psychology · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicEducator Training and Historical Pedagogy
Canadian institutionsnot available
FundersQueen's UniversityQueen's University BelfastBritish Psychological SocietyDepartment for the Economy
KeywordsEthnic groupGroup (periodic table)The RepublicPsychologySociologyAnthropologyChemistryTheologyPhilosophy

Abstract

fetched live from OpenAlex

Assessing children’s awareness of ethnic identity and group boundaries is important in conflict-affected societies. For example, in the Republic of North Macedonia (RNM), tense interethnic relations remain and can be seen in the largely separate living patterns, particularly in schools. This brief report analyses data from 194 children (57.7% female, 42.3% male; 45.9% Macedonian, 54.1% Albanian) in primary school. A series of one sample t-tests, with Bonferroni correction, demonstrate the viability of a new quantitative tool for measuring children’s awareness of symbols relevant to interethnic relations in RNM. The findings indicate that primary school aged children are able to sort both ingroup and outgroup symbols with the hypothesized ethnic group. Moreover, ethnic awareness is present among the earliest school grades and increases with age. This approach may be used in future research and adapted in other conflict-affected settings to better understand the foundations of children’s interethnic attitudes and behaviors.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.140
Threshold uncertainty score0.345

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.214
GPT teacher head0.420
Teacher spread0.206 · 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 designObservational
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

Citations38
Published2019
Admission routes1
Has abstractyes

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