MétaCan
Menu
Back to cohort
Record W2046216307 · doi:10.1258/135763303769211300

Experiences of rural women with breast cancer receiving social support via audioconferencing

2003· article· en· W2046216307 on OpenAlexaffabout
Shirley M. Solberg, Jon G. Church, Vernon Curran

Bibliographic record

VenueJournal of Telemedicine and Telecare · 2003
Typearticle
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsSocial supportRural areaBreast cancerSocial network (sociolinguistics)Process (computing)PsychologyMedicineGerontologySocial mediaCancerSocial psychologyWorld Wide WebComputer science

Abstract

fetched live from OpenAlex

We examined the process of social support for breast cancer survivors in rural Newfoundland and Labrador. The subjects were 11 participants in a social support programme that made use of audioconferencing. The core social psychological process by which women received social support consisted of four distinct but overlapping stages: getting connected to the network; finding a voice; connecting with others; and becoming empowered. The findings suggested that support groups facilitated via audioconferencing can transcend geographical distance and permit women living in rural areas to share experiences with each other and to learn from and teach each other. The use of telephone and audioconferencing technologies should be encouraged for the provision of information and support to people in rural settings, where such services may be especially beneficial.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.002
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
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 head0.009
GPT teacher head0.264
Teacher spread0.254 · 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 designQualitative
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

Citations11
Published2003
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Telemedicine and TelecareSame topicCancer survivorship and careFrench-language works237,207