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Record W2038986561 · doi:10.1177/109019810102800206

Older Women and Mammography Screening Behavior: Do Possible Selves Contribute?

2001· article· en· W2038986561 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.

Bibliographic record

VenueHealth Education & Behavior · 2001
Typearticle
Languageen
FieldMedicine
TopicGlobal Cancer Incidence and Screening
Canadian institutionsMcMaster University
FundersHealth CanadaMcMaster University
KeywordsMammographyHealth belief modelMedicineLogistic regressionGerontologyBreast cancer screeningSelf-efficacyPublic healthClinical psychologyHealth behaviorFamily medicinePsychologyHealth educationBreast cancerSocial psychologyEnvironmental healthNursingCancer

Abstract

fetched live from OpenAlex

This study sought to explore the contribution of the self-concept to older women's adherence to regular mammography screening behavior. The PRECEDE and health belief model concepts were incorporated with a measure of the women's future selves to determine whether the self-concept adds to our ability to predict screening. A self-administered questionnaire was completed by 210 community-dwelling women ages 50 to 75 years, recruited from urban and rural women's groups. Logistic regression analyses revealed that predictors of adherence were clinical breast examination, physician recommendation, age, barriers, benefits, feared health-related possible self, and self-efficacy in the feared domain. The addition of the self measures significantly improved the overall fit of the model. Implications for theory development, practice, and future research are discussed.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.193
Threshold uncertainty score0.830

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.064
GPT teacher head0.401
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