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Record W2027472290 · doi:10.2307/3552485

Cigarette Smoking and the Cost of Hospital and Physician Care

2003· article· en· W2027472290 on OpenAlexvenueaboutno aff
Glenn W. Harrison, James P. Feehan, Alison Edwards, Jorge Segovia

Bibliographic record

VenueCanadian Public Policy · 2003
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Health Care Issues
Canadian institutionsnot available
Fundersnot available
KeywordsPer capitaHealth careMedicineHealth economicsEnvironmental healthPublic healthFamily medicineNursingEconomicsEconomic growthPopulation

Abstract

fetched live from OpenAlex

Smoking is widely known to affect health adversely. The consequent cost to the publicly funded Canadian health-care system is a matter of considerable policy interest. We consider two core elements of health care: hospitals and physicians. This study, unlike previous Canadian studies, uses the econometric approach to assess these costs. The availability of the 1995 Newfoundland Adult Health Survey makes that application feasible. That survey covers thousands of individuals, providing a snapshot of their socio-demographic, economic, and health characteristics and is linked to the respondents' medical utilization records over a seven-year period. It is estimated that over 12 percent of hospital utilization and approximately 7 percent of visits to physicians are attributable to smoking. The associated annual monetary costs are considerable, approximately $110 to $140 per capita.

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)0.007
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.832
Threshold uncertainty score0.337

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.024
GPT teacher head0.361
Teacher spread0.337 · 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

Citations25
Published2003
Admission routes2
Has abstractyes

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