MétaCan
Menu
Back to cohort
Record W2285170945

제2차 세계대전 이후 이탈리아 주거정책과 건축문화의 역사적 고찰

2008· article· ko· W2285170945 on OpenAlexaboutno aff
김일현

Bibliographic record

Venue한국주거학회논문집 · 2008
Typearticle
Languageko
FieldSocial Sciences
TopicUrbanization and City Planning
Canadian institutionsnot available
Fundersnot available
KeywordsCorporatismPoliticsQuarter (Canadian coin)Government (linguistics)Period (music)Political sciencePublic housingSocialismPublic administrationPolitical economyEconomic historyEconomySociologyEconomicsLawHistoryCommunism
DOInot available

Abstract

fetched live from OpenAlex

Public housing problem became a major issue in each European country during the period of the reconstruction. This study focuses on the one of the major institutional policies in the public housing sectors in Europe during the second postwar period, specifically the INA (Istituto Nazionale delle Assicurazioni)-Casa in Italy from 1949 to 1963. Thanks to the financial Aid provided by 'Marshall Plan' of United States government, Italy initiated INA-Casa housing program elaborated and realized by minister of Labour, Amintore Fanfani. He was strongly influenced by catholic socialism and Weberian corporatism, and also had previously written theoretical studies on the subject during the Interwar years. The outcome of this policy had been devaluated for its Keynesian aspect as well as vernacular predominance in the architectural forms. On the contrary, this study focuses on themes such as continuity of politics before and after the Liberation, status of the architects and their will to social engagement, notion of quarter as 'self-sufficient community' and 'residential unit'. These factors will allow to comprehend the complex nature of the reality where different categories were involved to resolve the common housing problem.

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)0.000
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: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.003
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.050
GPT teacher head0.284
Teacher spread0.234 · 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
Published2008
Admission routes1
Has abstractyes

Explore more

Same venue한국주거학회논문집Same topicUrbanization and City PlanningFrench-language works237,207