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Record W2130823958 · doi:10.1136/tc.2003.004457

Lawsuits and secondhand smoke: Table 1

2004· review· en· W2130823958 on OpenAlexaboutno aff
Edward Sweda

Bibliographic record

VenueTobacco Control · 2004
Typereview
Languageen
FieldMedicine
TopicSmoking Behavior and Cessation
Canadian institutionsnot available
Fundersnot available
KeywordsLawsuitNewspaperSecondhand smokeLawQuarter (Canadian coin)Public healthScope (computer science)Political scienceMedicineBusinessAdvertisingPublic relationsEnvironmental healthHistoryNursing

Abstract

fetched live from OpenAlex

OBJECTIVE: This paper describes secondhand smoke (SHS) litigation over the past quarter century where non-smoking litigants have prevailed and attempts to decipher trends in the law that may impact the course of future cases. METHODS: Since the early 1980s, the author has sought and examined legal cases in which SHS exposure is an important factor. Law library searches using the official reporter system (for example, Shimp v. New Jersey Bell Telephone Co., 368 A.2d 408) have more recently been combined with computerised online searches using LexisNexis and Westlaw. The author has learned of other cases through personal correspondence and from articles in newspapers. Over 420 cases involving exposure to SHS were identified. Each case was reviewed and summarised. RESULTS: Since 1976, the year of the first reported SHS lawsuit, this type of litigation has increased both in number and in scope with increasing success. While it is common for initial cases to lose in a new area where the law eventually evolves, litigants and their lawyers who later bring similar cases can learn from those previous, unsuccessful cases. It is now apparent that the judicial branch has begun to recognise the need to protect the public-especially some of the most vulnerable members of our society-from the serious threat to their health that is exposure to SHS. CONCLUSIONS: Successful cases brought on behalf of individuals exposed to SHS produce an additional benefit for the public health by both paving the way for other non-smoking litigants to succeed in their cases and persuading business owners and others voluntarily to make their facilities 100% smoke-free.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.989
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.046
GPT teacher head0.338
Teacher spread0.292 · 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 teacher head, not a consensus.

Study designOther design
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

Citations15
Published2004
Admission routes1
Has abstractyes

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