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Record W7146209491

Visitability : 誰もが隣人になれるまちづくりの一歩は貧困層への住宅建築支援から始まった (特集 地域リハビリテーション)

2016· article· W7146209491 on OpenAlexaboutno aff
Toru Furui

Bibliographic record

VenueInstitutional Repositories DataBase (IRDB) · 2016
Typearticle
Language
FieldEnvironmental Science
TopicUrban and spatial planning
Canadian institutionsnot available
Fundersnot available
KeywordsMovement (music)Public policy
DOInot available

Abstract

fetched live from OpenAlex

This report is the first introduction of visitability to Japan. Sometimes called basic home access and inclusive home design, the visitability movement promotes meaningful policy changes to require several essential features in every new home: 1) a zero-step entrance; 2) interior doors, including bathrooms, with at least 32 inches of clear passage space; and 3) at least a half bath, preferably a full bath, on the main floor. Visitability was originally proposed as concrete change by Eleanor Smith in Atlanta, Georgia, in 1987. Since then, the visitability movement has had significant impacts on home construction policy in North America, especially in the United States and Canada. As a recent success of visitability, two cities recently passed ordinances requiring basic access features in all new houses: Vancouver, British Colombia, in 2013, and Austin, Texas, in 2014. The author also discusses the fundamental significance and contemporary importance of visitability, which originated from collaborative efforts supporting popular home-building advocacy for the poor.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.036
Threshold uncertainty score0.121

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0020.002
Scholarly communication0.0050.005
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0360.009

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 head0.015
GPT teacher head0.234
Teacher spread0.219 · 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 designObservational
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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