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Record W4311079193 · doi:10.1515/roja-2022-0014

„Faux comme un diamant du Canada“

2022· article· en· W4311079193 on OpenAlexaboutno aff
Alex Demeulenaere

Bibliographic record

VenueRomanistisches Jahrbuch · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicTravel Writing and Literature
Canadian institutionsnot available
Fundersnot available
KeywordsNarrativePossession (linguistics)AnalogyHistoryExaggerationDe factoArchitectureSubject (documents)LiteratureCONQUESTPhilosophyArtEpistemologyArchaeologyPsychoanalysisLinguisticsLawPsychologyPolitical science

Abstract

fetched live from OpenAlex

Abstract The European travel narratives that follow the discovery of the New World have already been extensively studied, from historical, anthropological and literary perspectives. However, we would like to reread them from the perspective of the tension between a “marvellous possession” (Greenblatt 1991) and a more profound failure. The early travelogues show a complex discursive architecture with a textual subject facing an absolute Other, seeking to establish on the one hand an analogy based on a reassuring fictional intertextual horizon and on the other an exaggeration of otherness, symbolised by anthropophagy and monstrosity. If, as Todorov (1982) thinks, such an architecture was indispensable to the enterprise of conquest, it is nevertheless at the root of a triple failure. If the undeniable intercultural failure has already been widely studied, we will develop two others: the failure of the genre of the travelogue from the Middle Ages as an interpretative matrix, and, more profoundly, the failure of a Western knowledge paradigm, which will be shown in an exemplary way by the criticisms of las Casas and Montaigne.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.797
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.000

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 head0.019
GPT teacher head0.176
Teacher spread0.157 · 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 teacher head, not a consensus.

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

Citations1
Published2022
Admission routes1
Has abstractyes

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