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Record W2301301547 · doi:10.5040/9781472560070.ch-009

Defective Structures and Economic Loss in the United States: Law and Policy

2014· book-chapter· en· W2301301547 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueHart Publishing eBooks · 2014
Typebook-chapter
Languageen
FieldDecision Sciences
TopicConstruction Project Management and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsLawPolitical scienceLaw and economicsEconomics

Abstract

fetched live from OpenAlex

This article surveys the recent development of contractor liability for defective construction. The loss rule that precludes damages for economic losses from defective construction remains relatively firm in the U.S. for commercial construction, but has eroded in some jurisdictions for home construction. A variety of judicial and legislative approaches have caused this erosion, which allows recovery in tort rather than in contract in most cases, and can extend liability to owners other than the first buyer. Some courts have simply imposed a common law duty of care on home builders, while others have legislated such liability, while still others have not deviated from the economic loss rule. The variety of approaches mirrors that in England, Australia, Canada and New Zealand. The effects of imposing liability for economic loss in these cases is reflected in higher liability premiums and reduced coverage for contractors' insurance in this market, which has made conventional liability insurance unaffordable by some smaller homebuilders, who are required either to form or participate in a captive insurance company to obtain affordable coverage. Insurers are working with the building industry to reduce risks, evidence that liability rules do affect levels of care taken. Finally, the article examines the policy concerns that might underlie a distinction in liability rules for commercial and home construction, noting the greater ability of commercial buyers to obtain contractual protections due to awareness of the risk, a distinction not made in judicial opinions.

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.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.747
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0050.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.056
GPT teacher head0.310
Teacher spread0.254 · 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