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Record W2102699858 · doi:10.1136/ebn.5.4.127

Scripting and performing a drama about living with metastatic breast cancer provided insight into women’s experiences

2002· letter· en· W2102699858 on OpenAlexaboutno aff
Karen Moore Schaefer

Bibliographic record

VenueEvidence-Based Nursing · 2002
Typeletter
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsnot available
Fundersnot available
KeywordsBreast cancerDramaMedicineMetastatic breast cancerContext (archaeology)GynecologyCancerInternal medicineArtLiteratureHistory

Abstract

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Sinding C, Gray R, Fitch M, et al. Staging breast cancer, rehearsing metastatic disease. Qual Health Res2002 Jan; 12 : 61 –73 [OpenUrl][1][CrossRef][2][PubMed][3][Web of Science][4] QUESTION: What meanings were generated in women who scripted and performed a drama about living with metastatic breast cancer ( Handle with care? Living with metastatic breast cancer )? Hermeneutic phenomenology. A theatre school and drama centre for adults >50 years of age at a university in Toronto, Ontario, Canada. 2 women who had metastatic disease and took part in creating Handle with care? Living with metastatic breast cancer and 2 actors who had experienced a breast cancer diagnosis. The research team met with the theatre group and 2 women with metastatic breast cancer to create a drama based on a focus group study about living with metastatic breast cancer. People in the drama were interviewed at the beginning, midway through the creative process, and soon after the drama was taken on the road. A key question was: “What is it like for you to be involved in this process?” A phenomenological analysis focusing on the meanings of illness in the context of the drama was used. Drafts of the article were … [1]: {openurl}?query=rft.jtitle%253DQualitative%2BHealth%2BResearch%26rft.stitle%253DQual%2BHealth%2BRes%26rft.aulast%253DSinding%26rft.auinit1%253DC.%26rft.volume%253D12%26rft.issue%253D1%26rft.spage%253D61%26rft.epage%253D73%26rft.atitle%253DStaging%2BBreast%2BCancer%252C%2BRehearsing%2BMetastatic%2BDisease%26rft_id%253Dinfo%253Adoi%252F10.1177%252F104973230201200105%26rft_id%253Dinfo%253Apmid%252F11797926%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/external-ref?access_num=10.1177/104973230201200105&link_type=DOI [3]: /lookup/external-ref?access_num=11797926&link_type=MED&atom=%2Febnurs%2F5%2F4%2F127.atom [4]: /lookup/external-ref?access_num=000172757700005&link_type=ISI

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.659
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.002
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 head0.028
GPT teacher head0.285
Teacher spread0.257 · 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

Citations0
Published2002
Admission routes1
Has abstractyes

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