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Record W2726535906 · doi:10.4000/belphegor.824

Les Jeux olympiques de Berlin de 1936 dans la presse internationale

2017· article· fr· W2726535906 on OpenAlexvenueno aff
Paul Aron, Micheline Cambron, Gianni Haver, Marie-Ève Thérenty, François Vallotton

Bibliographic record

VenueBelphégor · 2017
Typearticle
Languagefr
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

La présente livraison de la revue Belphégor publie les résultats d'une vaste étude internationale sur l'impact des Jeux olympiques de Berlin de 1936 dans la presse belge, française, québécoise et suisse.2 L'événement, en lui-même, est bien connu et a fait l'objet de nombreuses publications.Les Jeux de 1936 ont été, de toute l'histoire de l'Olympisme, ceux qui ont suscité le plus d'études.Pour la première fois en effet, l'histoire du sport affrontait l'épreuve de la politique à l'échelle mondiale et à grande ampleur.Les historiens ont parfaitement décrit l'importance que le régime nazi a accordée aux Jeux, la manière dont ils ont orchestré leur mise en scène spectaculaire.Ceux-ci marquaient à la fois le grand retour de l'Allemagne dans l'organisation du sport international, et une occasion unique de montrer au monde les réalisations du Reich.Par ailleurs, les débats occasionnés par les orientations racistes et militaires du régime ont suscité nombre de réactions.La manière dont le Comité international olympique (CIO) a géré ces questions est également bien connue.

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)0.001
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: Empirical · Consensus signal: none
Teacher disagreement score0.046
Threshold uncertainty score0.092

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0020.002
Scholarly communication0.0060.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0250.003

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 head0.074
GPT teacher head0.377
Teacher spread0.303 · 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
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

Citations0
Published2017
Admission routes1
Has abstractyes

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Same venueBelphégor→Same topicSport and Mega-Event Impacts→French-language works237,207→