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A consultation with Canadian rural women with breast cancer

2004· article· en· W1993951875 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueHealth Expectations · 2004
Typearticle
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsCanadian Breast Cancer NetworkHealth Sciences CentreSunnybrook Health Science Centre
Fundersnot available
KeywordsFocus groupBreast cancerFeelingQualitative researchCoping (psychology)NursingWork (physics)Health careRural areaInformation needsMedicineFamily medicinePublic relationsPsychologyMedical educationEconomic growthPolitical scienceBusinessCancerSociologyMarketingSocial psychologyLibrary sciencePsychiatry

Abstract

fetched live from OpenAlex

OBJECTIVE: Relatively little research has been carried out on the health and supportive care needs of rural women living with breast cancer. In this study, results from a Canadian focus group study are used to highlight issues of importance to rural women. SETTING AND PARTICIPANTS: A total of 276 rural women with breast cancer divided into 17 focus groups participated in the study conducted across Canada. A standardized protocol for discussion was employed. Issues of access to information, support and services were discussed, with women describing their experiences in trying to find appropriate programmes and services. MAIN RESULTS: The major theme identified through analysis of qualitative data was 'becoming aware of and/or gaining access to health care information, support and services.' Other major themes included: (1) dealing with isolation; (2) having to travel; (3) feeling the financial burden and (4) coping with changing work. CONCLUSIONS: Rural women with breast cancer have supportive care challenges related to their circumstances. A series of recommendations were generated through the consultation process which are contributing to the development of a national strategy focusing on the development and extension of programmes for rural women with breast cancer. Although the research on the project was not to specified standards, and suffered from less attention than community capacity building and advocacy, it proved to be of worth and revealed potential benefits from collaborations between researchers and community organizations.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.442
Threshold uncertainty score0.892

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 head0.010
GPT teacher head0.286
Teacher spread0.276 · 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