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Record W2328964235 · doi:10.5993/ajhb.34.2.1

Cervical Cancer Screening Among Asian Canadian mmigrant and Nonimmigrant Women

2010· article· en· W2328964235 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueAmerican Journal of Health Behavior · 2010
Typearticle
Languageen
FieldMedicine
TopicCervical Cancer and HPV Research
Canadian institutionsNewfoundland and Labrador Centre for Applied Health Research
FundersCanadian Institutes of Health Research
KeywordsImmigrationMedicineDemographyLogistic regressionCervical cancerCervical cancer screeningCancer screeningGynecologyEnvironmental healthObstetricsCancerGeographyInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVES: To examine whether Pap smear screening and determinants of screening for Asian immigrants are different from those for nonimmigrants in Canada. METHODS: Data from the Canadian Community Health Survey Cycle 2.1 (2003) were used. Explanatory and multivariate logistic regression analyses were performed to compare rates and determinants of Pap smear screening between Asian immigrants and nonimmigrants. RESULTS: In this study, 64,604 women were included. Asian immigrants had significantly lower rates of Pap smear screening (52%) compared to nonimmigrants (72%). Lack of necessity and time are important barriers. CONCLUSION: Pap smear screening should be promoted, particularly in recent Asian immigrants.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.578
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.020
GPT teacher head0.356
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