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Record W7034561673

Urbanita agricola nelle aree costiere adriatiche

2017· book-chapter· it· W7034561673 on OpenAlexaboutno aff

Bibliographic record

VenueUnicam Scientific Publications (University of Camerino) · 2017
Typebook-chapter
Languageit
FieldAgricultural and Biological Sciences
TopicLichen and fungal ecology
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Work (physics)
DOInot available

Abstract

fetched live from OpenAlex

Produzione, distribuzione e consumo del cibo stanno provocando
\na livello planetario rilevanti «effetti collaterali» sulle comunità e sui
\nterritori. La generale riflessione sul tema dell’alimentazione, sviluppata in
\noccasione dell’Esposizione Universale di Milano del 2015 'Nutrire il
\nPianeta, Energia per la Vita', ha costituito un importante momento
\ndi confronto tra i protagonisti della comunità internazionale sulle
\nprincipali sfide dell’umanità. Il contributo è parte di un insieme di riflessioni a scala nazionale e internazionale sugli effetti che le scelte politiche in materia di food hanno determinato nel paesaggio costruito ed è parte della ricerca
\nbiennale F.A.R. FOODSCAPE, finanziata dall’Ateneo di Camerino per la Scuola di Architettura e Design Eduardo Vittoria di Ascoli Piceno. In particolare la ricerca attraverso le mappe interpretative e la sperimentazione progettuale indaga il rapporto inscindibile tra dato produttivo e caratteristiche peculiari dei territori, e la relazione tra spazio costruito e spazio agricolo come efficace dispositivo rigenerativo e di disegno dello spazio urbano-rurale.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.766
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0040.004
Scholarly communication0.0010.001
Open science0.0040.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0170.002

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 head0.036
GPT teacher head0.202
Teacher spread0.167 · 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; both teacher heads agree on what is shown here.

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
Published2017
Admission routes1
Has abstractyes

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