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Record W2079517643 · doi:10.1080/19485560903382411

Measuring Respiratory Health in Longitudinal Social Science Surveys

2009· review· en· W2079517643 on OpenAlexaff
Edith Chen, Wei‐Jun Jean Yeung

Bibliographic record

VenueBiodemography and Social Biology · 2009
Typereview
Languageen
FieldEnvironmental Science
TopicAir Quality and Health Impacts
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsSpirometryExhalationSocioeconomic statusEnvironmental healthLongitudinal studyPopulationVital capacityMedicineEthnic groupPulmonary function testingDemographyPsychologyLung functionAsthmaPolitical scienceSociologyInternal medicinePathology

Abstract

fetched live from OpenAlex

Objectively assessing respiratory health in longitudinal social science surveys would involve collecting pulmonary function measures on research participants, either in clinic settings or at home. These measures include indicators of volume (e.g., maximal amount of air blown in the first second of a forced exhalation) and airflow (maximal speed air is exhaled during a forced exhalation). Equipment options include office spirometry, portable spirometry, or home peak flow monitoring. Each option has different equipment and personnel costs. The types of research questions that could be answered using pulmonary function measures in longitudinal household surveys are quite broad, ranging from effects of socioeconomic status and race/ethnicity on respiratory health to social/environmental factors that contribute to respiratory health to the long-term social and economic consequences of respiratory health problems. Currently, such data are lacking. Given the potential payoffs in scientific knowledge, adding these measures to population-based surveys merits serious consideration.

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)0.007
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.992
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.247
GPT teacher head0.412
Teacher spread0.164 · 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

Citations0
Published2009
Admission routes1
Has abstractyes

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