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Record W2040697621 · doi:10.1188/06.onf.e62-e70

Studying Delays in Breast Cancer Diagnosis and Treatment: Critical Realism as a New Foundation for Inquiry

2006· article· en· W2040697621 on OpenAlex
Jan Angus, Karen‐Lee Miller, Tammy Pulfer, Patricia McKeever

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.

Bibliographic record

VenueOncology nursing forum · 2006
Typearticle
Languageen
FieldMedicine
TopicGlobal Cancer Incidence and Screening
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCritical realism (philosophy of perception)Breast cancerMedicineRealismContext (archaeology)Health careEpistemologyPerspective (graphical)CancerComputer science

Abstract

fetched live from OpenAlex

PURPOSE/OBJECTIVES: To examine how delays in breast cancer care currently are conceptualized and to introduce philosophical and theoretical tenets of critical realism as an alternative approach. DATA SOURCES: Health and social sciences literature. DATA SYNTHESIS: Diagnostic and treatment delays in breast cancer most frequently are conceptualized as patient, provider, or system related. The approach has limited utility in guiding explanatory analysis because it does not acknowledge the social context in which the delays occur. The philosophical tenets of critical realism and two related theoretical approaches are an alternative. They illustrate how an individual's biologic, social, and material resources may undermine or support structural inequities in access to breast cancer care. CONCLUSIONS: Critical realism provides a useful framework for analysis of links between social inequalities and delays in breast cancer diagnosis and treatment. IMPLICATIONS FOR NURSING: Access to breast cancer care could be better understood and conceptualized by basing future research and theoretical endeavors on a critical realist perspective.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.654
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

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

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 head0.125
GPT teacher head0.453
Teacher spread0.329 · 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