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Record W4392726405

La costruzione di un territorio per il tempo libero. Esperienze d'oltralpe a confronto

2016· book-chapter· it· W4392726405 on OpenAlexaff
Caterina Franco

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2016
Typebook-chapter
Languageit
FieldSocial Sciences
TopicHistorical and Environmental Studies
Canadian institutionsCentre de Santé et de Services Sociaux de la Montagne
Fundersnot available
KeywordsHumanitiesArt
DOInot available

Abstract

fetched live from OpenAlex

Il presente contributo desidera offrire spunti di riflessione sugli strumenti che la ricerca in architettura può adoperare nello studio del territorio alpino. Il lavoro è parte di una tesi di dottorato in architettura attualmente in corso intitolata La construction d’un territoire pour le tourisme de masse. Le cas des Alpes franco-italiennes dans l’après – Seconde Guerre mondiale. La ricerca indaga, con una prospettiva transfrontaliera, la costruzione di sistemi di infrastrutture per il turismo di massa nei siti montani d’alta quota. Ci interessiamo in particolare al periodo 1960-1975, che ha visto l’affermazione e la crisi di un modello di pianificazione chiamato in Francia station intégrée. Inizialmente, ripercorreremo le principali idee che hanno animato l’interesse per lo studio dell’architettura di montagna negli ultimi anni. In seguito, verranno proposte nuove possibilità di lettura, alla luce delle problematiche attuali delle regioni alpine d’alta quota.

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)0.002
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 score0.057
Threshold uncertainty score0.189

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.004
Scholarly communication0.0070.004
Open science0.0010.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0570.007

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 head0.013
GPT teacher head0.209
Teacher spread0.196 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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