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Record W1503680235

Witold Rybczynski: A House is Not a Home: Witold Rybczynski Explores the History of Domestic Comfort

2006· book-chapter· en· W1503680235 on OpenAlexaboutno aff
Barbara Spronk

Bibliographic record

VenueAurora eBooks · 2006
Typebook-chapter
Languageen
FieldEngineering
TopicArchitecture, Modernity, and Design
Canadian institutionsnot available
Fundersnot available
KeywordsPortraitSubject (documents)SociologyGender studiesHistoryArt historyComputer scienceWorld Wide Web
DOInot available

Abstract

fetched live from OpenAlex

Beginning with the Middle Ages, Rybczynski takes us inside the dwellings of the aristocrats and the bourgeoisie of Western Europe and eventually of twentieth-century North America. Rybczynski’s tour is not the “note-the-many-Rembrandts-that line-this-corridor” variety to which tour guides subject us. Rather, with Rybczynski as our guide we learn something of what these dwellings meant to those who lived in them, the kinds of objects, surroundings, and relationships those house owners valued, and why. When Rybczynski points us towards portraits, it is not because of the gilded light they shed on their owners, but rather because of what they tell us about the interior and domestic lives of the societies which shaped their creators. His intent throughout is to search out and understand the social forms that gave rise to the notion that comfort and domestic well-being are worthy goals. His hope, as he makes clear in the interview which follows, is that such an understanding can help homeowners recapture or refashion a sense of comfort that has been lost, by generating comforts appropriate to present lives and emerging social forms. After several years spent teaching at McGill University, he now lives in Philadelphia and is the Martin and Margy Meyerson Professor of Urbanism at the University of Pennsylvania.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.031
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.015
Scholarly communication0.0040.009
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0030.001

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 head0.030
GPT teacher head0.202
Teacher spread0.172 · 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
GenreReview

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

Citations5
Published2006
Admission routes1
Has abstractyes

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