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Record W3167842427 · doi:10.1080/00131911.2021.1931040

Democratic pilgrimage: Swedish students’ understanding of study trips to Holocaust memorial sites

2021· article· en· W3167842427 on OpenAlexaboutno aff
Ola Flennegård, Christer Mattsson

Bibliographic record

VenueEducational Review · 2021
Typearticle
Languageen
FieldPsychology
TopicMemory, Trauma, and Commemoration
Canadian institutionsnot available
Fundersnot available
KeywordsTRIPS architectureDemocracyFeelingCurriculumThe HolocaustPerspective (graphical)SociologyStudy abroadQuarter (Canadian coin)Relation (database)PedagogyPsychologySocial psychologyPolitical scienceHistoryLawVisual artsPoliticsEngineeringArt

Abstract

fetched live from OpenAlex

This article focuses on Swedish students’ understanding of study trips to Holocaust memorial sites. Although about a quarter of all Swedish teenagers visit the Auschwitz-Birkenau State Museum each year, with the majority visiting as students as part of their school curriculum, this study is the first to examine these study trips from a student perspective. By applying critical discourse analysis, this article analyses 49 students’ reflections, written before, during, and after two study trips. The results suggest that the study trips’ discursive practice, which constitutes and is constituted by the study trips’ social practice, is regulated by a discursive order termed democratic pilgrimage. In addition, this article reveals two didactic deviations from previous research on study trips: the students’ positive feelings in relation to the Polish environment and the balance between victim and perpetrator perspectives. The latter creates tension within the students and is solved via articulations of democratic values.

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)0.004
metaresearch head score (Gemma)0.006
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 score0.010
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0050.013
Scholarly communication0.0100.004
Open science0.0010.007
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0010.000

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 head0.150
GPT teacher head0.437
Teacher spread0.287 · 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

Citations9
Published2021
Admission routes1
Has abstractyes

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