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Record W6961171335 · doi:10.14457/tu.the.2015.1162

Les citations et les références dans Rien que la terre de Paul Morand

2015· dataset· fr· W6961171335 on OpenAlexaboutno aff

Bibliographic record

VenueNRCT Data Center · 2015
Typedataset
Languagefr
FieldBiochemistry, Genetics and Molecular Biology
TopicDNA and Biological Computing
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Quarter (Canadian coin)Domain (mathematical analysis)

Abstract

fetched live from OpenAlex

Rien que la terre est un récit de voyage qui date du début du XXe siècle. Le contenu de ce récit concerne le Siam (ou la Thaïlande d’aujourd’hui) mais aussi les pays où Paul Morand, l’auteur de ce récit, passe durant son voyage pour venir occuper le poste d’ambassadeur au Siam en 1925 (à la fin du règne du roi Rama VI).Notre travail a pour but d’analyser la pratique intertextuelle dans ce récit. En effet, Paul Morand se réfère à plusieurs reprises aux écrits des auteurs qui lui sont antérieurs. Parmi les différents types d’intertextes, nous nous intéressons plus précisément aux citations et aux références repérées dans la partie concernant le Siam dans l’ouvrage Rien que la terre. Il s’agit des citations et références provenant des envoyés par Louis XIV au XVIIe siècle, d’autres personnes célèbres mais aussi des sources anonymes.Outre l’étude des caractéristiques de ces intertextes, nous allons aussi nous intéresser à leurs fonctions.

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)0.003
metaresearch head score (Gemma)0.032
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: Not applicable
GenreCandidate signal: Dataset · Consensus signal: none
Teacher disagreement score0.100
Threshold uncertainty score0.198

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.032
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0100.031
Science and technology studies0.0050.003
Scholarly communication0.0090.007
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0360.011

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 head0.072
GPT teacher head0.347
Teacher spread0.274 · 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
GenreDataset

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
Published2015
Admission routes1
Has abstractyes

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