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Record W3035759237 · doi:10.4000/books.cths.11402

La représentation de la montagne corse dans la littérature du xxie siècle

2020· book-chapter· fr· W3035759237 on OpenAlexaff
Pierre Bertoncini

Bibliographic record

VenueÉditions du Comité des travaux historiques et scientifiques eBooks · 2020
Typebook-chapter
Languagefr
FieldArts and Humanities
TopicCultural Identity and Heritage
Canadian institutionsCentre de Santé et de Services Sociaux de la Montagne
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

La Corse vient d’obtenir le statut officiel d’« île Montagne ». Cela apparaît comme la traduction politique de la formule de Friedrich Ratzel qualifiant cet espace de « montagne dans la mer ». La société corse a néanmoins connu des transformations profondes entre la rédaction de ces deux textes. Afin de les mesurer, nous analyserons, avec des outils fournis par l’anthropologie et la géographie, la représentation de la montagne corse dans la littérature au xxie siècle. Au cours d’une étude sur Le Sermon sur la chute de Rome de Jérôme Ferrari est apparu comment l’écrivain utilisait un vocabulaire emprunté à la géographie. La ville située sur le littoral y est présentée comme l’opposé du village situé quant à lui dans la montagne. Cela reprend le stéréotype comprenant le village comme lieu de l’authenticité. On relira l’œuvre de J. Ferrari que l’on comparera à celles de Marcu Biancarelli et mettra en perspective avec celle, plus ancienne, de Marie Susini afin de montrer comment ces auteurs mettent en scène les mutations rencontrées par le fait montagnard.

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: Other · Consensus signal: Other
Teacher disagreement score0.026
Threshold uncertainty score0.081

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.003
Scholarly communication0.0030.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0240.002

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 head0.030
GPT teacher head0.248
Teacher spread0.218 · 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
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
Published2020
Admission routes1
Has abstractyes

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