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Record W1517131937 · doi:10.4000/books.igpde.1878

L’État, la haute technologie et les États-Unis dans les années 1950 et 1960

2013· book-chapter· fr· W1517131937 on OpenAlexaff
John Krige

Bibliographic record

VenueInstitut de la gestion publique et du développement économique eBooks · 2013
Typebook-chapter
Languagefr
FieldArts and Humanities
TopicTwentieth Century Scientific Developments
Canadian institutionsCanadian Historical Association
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Dans une récente interview publiée dans Le Monde Yannick d’Escatha, l’actuel président du CNES (Centre national d’études spatiales), a expliqué la capacité de son pays à surmonter les défis technologiques en soulignant l’ingéniosité de ceux qui sont formés dans les grandes écoles combinées avec la force motrice d’un État directeur. « La France est un grand pays d’ingénieurs, ou plutôt un pays de grands ingénieurs. Cela correspond bien, à notre tempérament, à notre esprit cartésien et à notre ...

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.992
Threshold uncertainty score0.151

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0080.011
Scholarly communication0.0080.006
Open science0.0000.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0110.002

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 head0.254
Teacher spread0.204 · 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.

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

Citations0
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueInstitut de la gestion publique et du développement économique eBooksSame topicTwentieth Century Scientific DevelopmentsFrench-language works237,207