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Record W4297859147 · doi:10.4324/9781003112457-13

Learning from Rural Objects in 1970s Italy

2022· book-chapter· en· W4297859147 on OpenAlexaboutno aff
Elisabetta Rattalino

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldEngineering
TopicArchitecture and Computational Design
Canadian institutionsnot available
Fundersnot available
KeywordsExhibitionArchitectureHuman settlementGeographyVisual artsHistoryArchaeologyArt

Abstract

fetched live from OpenAlex

Unprecedented internal migrations occurred in Italy since the end of the World War II, especially from rural areas to urbanised and industrialised urban centres, and from the south to the north of the country. The heritage left behind during these relocations found new collocations and value during the 1960s and 1970s. Retracing the biography of the tools which once belonged to the Tuscan farmer Zeno Fiaschi and were included in a 2010 exhibition at the CCA (Canadian Centre for Architecture in Montreal, Canada), this chapter delves into the rural-themed practice of Superstudio and of the collective’s former member Alessandro Poli. During the 1970s, the architects collaborated on an educational research project ( Cultura Materiale Extraurbana or Extraurban Material Culture ) that surveyed the material culture of non-urban settlements. Their aim – which still is a valid call for today’s architects – was to experience and learn alternative ways of creating to design the future on new terms.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.009
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.006
Scholarly communication0.0030.002
Open science0.0000.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.002

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 head0.008
GPT teacher head0.170
Teacher spread0.162 · 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
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
Published2022
Admission routes1
Has abstractyes

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