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Record W2076265311 · doi:10.4000/assr.22444

Du Tro-Breiz à la Vallée des Mille Saints

2010· article· fr· W2076265311 on OpenAlexaff
Brigitte Bleuzen

Bibliographic record

VenueArchives de sciences sociales des religions · 2010
Typearticle
Languagefr
FieldSocial Sciences
TopicReligious Tourism and Spaces
Canadian institutionsLibrary and Archives Canada
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Le Tro-Breiz (Tour de Bretagne), initié par des laïcs en 1994, remet à l’honneur un pèlerinage médiéval connu sous le nom de «pèlerinage aux sept saints de Bretagne». Le succès inattendu de ce Tro-Breiz se prolonge par un projet pharaonique de construction d’une vallée des mille saints à Carnoët dans les Côtes d’Armor: mille statues, sculptées dans le granit, rendront hommage aux mille saints honorés en Bretagne. Ce processus signe la reconstruction de la Bretagne comme espace sacré. Il est à la fois un retour à la terre meurtrie par les hommes et la recherche d’une filiation culturelle et spirituelle au-delà du catholicisme. Par là, il interroge la démarche pèlerine classique.

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)0.000
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.116
Threshold uncertainty score0.231

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.001
Scholarly communication0.0020.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.001

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 head0.038
GPT teacher head0.317
Teacher spread0.280 · 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 designQualitative
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

Citations2
Published2010
Admission routes1
Has abstractyes

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