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Rational choice(s)? Rethinking decision‐making on breast cancer risk and screening mammography

2003· article· en· W2090076068 on OpenAlexaff
Mandana Vahabi, Denise Gastaldo

Bibliographic record

VenueNursing Inquiry · 2003
Typearticle
Languageen
FieldMedicine
TopicGlobal Cancer Incidence and Screening
Canadian institutionsCentre for Global Health ResearchUniversity of Toronto
FundersNational Cancer InstituteSigma Theta Tau International
KeywordsRationalityIrrational numberBreast cancerMammographySocial psychologyQualitative researchPsychologyPoliticsMedicinePublic relationsSociologyPolitical scienceCancerSocial scienceLaw

Abstract

fetched live from OpenAlex

Women who refrain from undergoing breast cancer screening are believed to be uninformed about risks and usually labeled as irrational. Our purpose in writing this paper is to challenge the traditional notion of rational behaviour, illustrating with qualitative data that people's rationality is influenced by their socio-cultural and political identities. We explore three major themes: (1) cultural explanations regarding intention to use screening mammography (2) (dis)trust in science and expert opinion, and (3) self-responsibility and self-surveillance in caring for one's body. Understanding that women rely on different risk discourses to make decisions about their health should aide researchers, health professionals, and the community in better understanding alternative ways of conceptualizing people's health-related behaviours when they do not coincide with health authorities recommendations.

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)0.043
metaresearch head score (Gemma)0.085
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.043
Threshold uncertainty score0.228

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0430.085
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0030.035
Scholarly communication0.0100.011
Open science0.0020.004
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0030.000

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 head0.085
GPT teacher head0.386
Teacher spread0.302 · 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 designTheoretical or conceptual
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

Citations38
Published2003
Admission routes1
Has abstractyes

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