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Record W4401684339 · doi:10.1177/10497323241242054

The Traces of Cancer: A Metaphorical Understanding of the Experiences of Women Living Beyond Breast Cancer

2024· article· en· W4401684339 on OpenAlexaff
Alexandra Guité‐Verret, Mélanie Vachon

Bibliographic record

VenueQualitative Health Research · 2024
Typearticle
Languageen
FieldPsychology
TopicLanguage, Metaphor, and Cognition
Canadian institutionsQuebec Network for Research on AgingUniversité du Québec à Montréal
Fundersnot available
KeywordsTRACE (psycholinguistics)MetaphorNarrativeBreast cancerExistentialismIdentity (music)CancerPsychologyMedicineAestheticsEpistemologyLiteraturePhilosophyArtLinguisticsInternal medicine

Abstract

fetched live from OpenAlex

This study feeds into ongoing discussions on the metaphors used by cancer patients. Its aim is to explore how women living with a history of breast cancer use metaphors to express and interpret the experience of cancer remission. Data were collected in interviews designed to capture a rich and metaphorical description of participants' experiences with breast cancer and what these experiences mean to them. Ten participants were recruited. An interpretative phenomenological analysis of the participants' narratives highlighted a central metaphor: the cancer trace in one's life. The participants had to adapt to four specific traces of cancer: (1) the identity trace, (2) the existential trace, (3) the bodily trace, and (4) the narrative trace. We discuss how cancer challenges one's sense of biographical continuity and initiates a search for a new way of being. We also discuss how the metaphor of the trace differs from the metaphor of the cancer hero living without any trace of cancer.

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)0.011
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.090
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.286
GPT teacher head0.561
Teacher spread0.275 · 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.

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

Citations0
Published2024
Admission routes1
Has abstractyes

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