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Record W4400587187 · doi:10.16926/eat.2023.12.11

Multicultural school. Students’ identity and value system

2023· article· en· W4400587187 on OpenAlexaboutno aff
Anna Kropiewnicka-Mielko

Bibliographic record

VenueEdukacyjna Analiza Transakcyjna · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Cultural Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMulticulturalismHonestyIdentity (music)Value (mathematics)Multicultural educationPsychologySociologyPedagogyPhenomenonSocial psychologyEpistemologyMathematicsAesthetics

Abstract

fetched live from OpenAlex

The article presents the phenomenon of multiculturalism and multicultural and intercultural education on the basis of publications by J. Nikitorowicz, J. A. Banks, M. A. Gibson and other authors, as well as own research on the system of values and identity identification of students of the Canadian School in Warsaw. The article attempts to diagnose the system of values and identity of students of the Canadian School and compares the results of the research with the results of other researchers. The research shows what students of the multicultural school identify with and which values are most important to them. Presenting the system of values of young students, the author drew attention to the fact that the respondents highly value health, freedom, social values such as goodness, honesty, respect, safety and love. Identity self-identifications refer to declarations related to gender, sense of identity of national, European, global, religious and traditional nature. The value system and self-identifications of the students of the Canadian School prove that young people in a multicultural school are open-minded, modern and feel first and foremost citizens of the world.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.081
Threshold uncertainty score0.161

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0060.006
Scholarly communication0.0060.001
Open science0.0000.003
Research integrity0.0000.001
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 head0.051
GPT teacher head0.390
Teacher spread0.339 · 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
Published2023
Admission routes1
Has abstractyes

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