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Record W1523527364 · doi:10.3917/esp.126.0159

« Se loger dans le passé »

2006· article· fr· W1523527364 on OpenAlexaff
Belén María Castro Fernández, Rubén Camilo Lois González

Bibliographic record

VenueEspaces et sociétés · 2006
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsOntario College of Art and Design
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Résumé La restauration des monuments joue un rôle clé. En effet, elle permet de ré-habiter des bâtiments historiques qui, du fait de leur évolution, de leurs dimensions, de leur conception dans l’espace ou de leur situation géographique, constituent une offre de services pour la communauté à laquelle ils appartiennent. Cette renaissance se traduit, dans l’Espagne du xx e siècle, par l’aménagement de certains bâtiments classés patrimoine historique en « Paradores Nacionales » . L’un des exemples les plus éloquents et qui remonte à 1954, est la transformation en « Parador Nacional de Turismo » de l’ancien Hôpital inauguré par les Rois Catholiques en 1499 et stratégiquement construit à côté de la Cathédrale de Saint-Jacques-de-Compostelle. Les conséquences du passage d’un Hôpital Royal pour pèlerins à un Hôtel de luxe pour touristes, ainsi que la dimension touristique et le rôle moteur de cette restauration du patrimoine, ont été analysés dans le dialogue interdisciplinaire entre une géographe et une historienne de l’art.

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: Empirical · Consensus signal: none
Teacher disagreement score0.031
Threshold uncertainty score0.077

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.007
Scholarly communication0.0050.003
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0230.004

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 head0.096
GPT teacher head0.381
Teacher spread0.286 · 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
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

Citations7
Published2006
Admission routes1
Has abstractyes

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