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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 OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.077
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.072
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