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Record W2029411582 · doi:10.1177/1557988307304147

How Prostate Cancer Support Groups Do and Do Not Survive: British Columbian Perspectives

2007· review· en· W2029411582 on OpenAlexaffabout
John L. Oliffe, Michael Halpin, Joan L. Bottorff, T. Gregory Hislop, Michael McKenzie, Lawrence Mróz

Bibliographic record

VenueAmerican Journal of Men s Health · 2007
Typereview
Languageen
FieldHealth Professions
TopicPatient-Provider Communication in Healthcare
Canadian institutionsBC Cancer AgencyUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
Fundersnot available
KeywordsSustainabilityEthnographyProstate cancerGender studiesPolitical scienceSociologyPublic relationsCancerMedicineAnthropologyEcologyInternal medicine

Abstract

fetched live from OpenAlex

Many prostate cancer support groups (PCSGs) have formed in North America during the past decade, yet their operation or factors influencing sustainability are poorly understood. This article reports micro (intragroup), meso (intergroup), and macro (group/structure) analyses drawn from the fieldwork and participant observations conducted for an ethnographic study of PCSGs based in British Columbia, Canada. The findings indicate that effective group leadership is integral to group sustainability and the recruitment and retention of attendees. At the meso level, intergroup connections and communication were often informal; however, the primary purpose of all the PCSGs was to provide information and support to men and their families. Many PCSGs were uncertain how formal associations with cancer fund-raising societies would influence group effectiveness. Macro issues such as prostate cancer activism resided with individual group "champions" through activities coordinated by provincial and national PCSG organizations. However, activism did not guarantee group sustainability. The study findings reveal why some groups flourish while others appear untenable, and form the basis for discussion about how PCSG sustainability might be best achieved.

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)0.002
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.219
Threshold uncertainty score0.440

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.005
Science and technology studies0.0020.001
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.172
GPT teacher head0.482
Teacher spread0.310 · 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
GenreReview

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
Published2007
Admission routes2
Has abstractyes

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