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Record W6949611522 · doi:10.5281/zenodo.16650121

Dialettica territoriale e urbana tra aree montane e fondovalle dell'Arno

2025· book-chapter· it· W6949611522 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typebook-chapter
Languageit
FieldSocial Sciences
TopicHistorical and Environmental Studies
Canadian institutionsEcomuseum Zoo
Fundersnot available
KeywordsMontane ecologyCohesion (chemistry)

Abstract

fetched live from OpenAlex

Il saggio si propone di comporre un e􀎦cursus sulla dinamica tra le principali componenti territoriali che caratterizzano il Casentino: il fondovalle, la mezza costa e le aree montane. Viene accennato al sistema fortemente integrato che ha caratterizzato il periodo preindustriale nel quale un ruolo di primo piano era rivestito dai paesi ubicati a quote collinari o di bassa-media montagna. 􀂧a gestione delle risorse naturali, in particolare il legname, la loro trasformazione e relativa commercializzazione, ha assicurato in passato un collegamento armonico tra le varie fasce altimetriche e, nel contempo, ha portato alla specializzazione di intere comunità intorno a particolari lavorazioni e manufatti spesso riproposti anche fuori dalla Valle attraverso la pratica delle migrazioni stagionali. Un nuovo legame trasversale tra le diverse realtà del comprensorio (mediante, ad esempio, una nuova valorizzazione e reinterpretazione dei “paesi ecotoni”), è auspicato anche nel presente. Si propone di superare lo schema invalso concentrato solo sulla lettura longitudinale del fondovalle secondo logiche tipicamente urbanocentriche.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.060
Threshold uncertainty score0.119

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 studies0.0020.003
Scholarly communication0.0040.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0120.001

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 head0.036
GPT teacher head0.230
Teacher spread0.194 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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