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Record W2009931503 · doi:10.1300/j013v44n02_04

Community Support, Community Values: The Experiences of Lesbians Diagnosed with Cancer

2007· article· en· W2009931503 on OpenAlexaffabout
Christina Sinding, Pamela Grassau, Lisa Barnoff

Bibliographic record

VenueWomen & Health · 2007
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsToronto Metropolitan UniversityMcMaster University
Fundersnot available
KeywordsLesbianQualitative researchParticipatory action researchContext (archaeology)MainstreamCancerPsychologyTransgenderNarrativeSocial psychologyMedicineGender studiesSociologyPolitical science

Abstract

fetched live from OpenAlex

The study reported in this article was initiated in response to the paucity of literature focused on Canadian lesbians with cancer. The aims of the study were broadly defined: to increase understanding of Canadian lesbians' experiences with cancer and cancer care, and to suggest directions for change such that lesbians with cancer might be better supported by service providers and lesbian communities. The qualitative study, set in Ontario, Canada, employed a participatory action research model. Twenty-six lesbians were interviewed about their experiences of cancer and cancer care. This article reports research participants' narratives about lesbian community. Findings reveal the complex and sometimes contradictory ways that lesbian community unfolds in the lives of lesbians with cancer. While most participants experienced robust and competent community support, participants also reported instances of isolation and disconnection linked to fear of cancer, homophobia in the broader community, and patterns of exclusion within lesbian communities. As well, while lesbian community norms and values appeared to buffer the negative effects of treatment-related physical changes, such norms also manifested as prescriptions for lesbians with cancer. Findings affirmed the value of creating networks among lesbians with cancer within a context of increased accessibility to mainstream cancer services.

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 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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.294
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.071
GPT teacher head0.425
Teacher spread0.354 · 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 teacher head, not a consensus.

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

Citations41
Published2007
Admission routes2
Has abstractyes

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