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Record W2978014458 · doi:10.3167/hrrh.2019.450106

"Warn the Duke"

2019· article· en· W2978014458 on OpenAlexvenueno aff
Paul Miller-Melamed

Bibliographic record

VenueHistorical Reflections/Réflexions Historiques · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicBalkans: History, Politics, Society
Canadian institutionsnot available
Fundersnot available
KeywordsMythologyNarrativeNewspaperVariety (cybernetics)EncyclopediaPoliticsHistoryLiteratureMedia studiesArt historySociologyClassicsArtLawPolitical science

Abstract

fetched live from OpenAlex

How has the Sarajevo assassination been conjured and construed, narrated and represented, in a wide variety of media including fiction, film, newspapers, children’s literature, encyclopedias, textbooks, and academic writing itself? In what ways have these sources shaped our understanding of the so-called “first shots of the First World War”? By treating the assassination of Archduke Franz Ferdinand (28 June 1914) as a "site of memory" à la historian Pierre Nora, this article argues that both popular representations and historical narratives (including academic writing) of the political murder have contributed equally to the creation of what I identify here as the “Sarajevo myth.”

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.011
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0080.012
Scholarly communication0.0040.003
Open science0.0000.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0040.001

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 head0.050
GPT teacher head0.350
Teacher spread0.300 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2019
Admission routes1
Has abstractyes

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