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Record W1992629866 · doi:10.3917/ethn.073.0441

Between Monumental History and Experience

2007· article· fr· W1992629866 on OpenAlexaff
Christine Lavrence

Bibliographic record

VenueEthnologie française · 2007
Typearticle
Languagefr
FieldPsychology
TopicMemory, Trauma, and Commemoration
Canadian institutionsThe King's UniversitySt. Francis Xavier UniversityWestern University
Fundersnot available
KeywordsHumanitiesArtEthnologyHistory

Abstract

fetched live from OpenAlex

Résumé Entre histoire monumentale et expérience. Le souvenir et l’oubli de la guerre à Belgrade Cet article analyse deux « lieux de mémoire » à Belgrade, en Serbie, qui commémorent la guerre et témoignent de la tension existant entre la grande histoire et l’expérience. Les deux monuments, destinés à inscrire dans la ville le bombardement des Nations unies en 1999 et la guerre des Balkans, partagent à la fois le fait d’être des référents presque imperceptibles dans l’espace urbain et des sites symboliquement chargés. Ainsi les « résurrections à répétition » sont-elles inscrites dans l’histoire de la Serbie et de Belgrade.

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)0.002
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 score0.072
Threshold uncertainty score0.142

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0080.029
Scholarly communication0.0080.003
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.084
GPT teacher head0.351
Teacher spread0.267 · 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
Published2007
Admission routes1
Has abstractyes

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