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Record W2902390098 · doi:10.5539/ass.v14n12p147

Palestinian Refugee Youth: Reproduction of Collective Memory of the Nakba

2018· article· en· W2902390098 on OpenAlexvenueno aff
Bassam Yousef Ibrahim Banat, Francisco Entrena Durán, Jawad Dayyeh

Bibliographic record

VenueAsian Social Science · 2018
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsnot available
Fundersnot available
KeywordsRefugeeReproductionCollective memoryPsychologySocial psychologyDemographyDevelopmental psychologyCriminologySociologyPolitical scienceLawBiologyEcology

Abstract

fetched live from OpenAlex

The objective of this study was to examine collective memory reproduction of the Nakba (the Catastrophe) among Palestinian refugee youth. The collective memory reproduction of the Nakba was evaluated using an index containing 27 items developed by the researchers, which was administered to three-hundred-and-seventy-four participants in refugee camps in the West Bank. The findings revealed that Palestinian refugee youth preserved a strong collective memory of the Nakba. The statistics revealed that gender, parents' educational level, exposure to violence perpetrated by the Israelis, and grade point average (GPA), were significant predictors of collective memory reproduction of the Nakba. Traumatic experiences are not being erased, as older refugees may die, but the youth will never forget. As these refugees continue to be deprived of the right to return to the territory where their ancestors had lived until they were violently expelled from the area, the collective memory reproduction of the Nakba grows stronger. The implications of the findings for practice are discussed in the study report.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.958
Threshold uncertainty score0.601

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
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 head0.036
GPT teacher head0.350
Teacher spread0.313 · 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

Citations16
Published2018
Admission routes1
Has abstractyes

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