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Record W4280653311 · doi:10.1386/jaah_00100_1

Exploring artmaking as a source of metaphor for women’s cancer experiences: A phenomenological study

2022· article· en· W4280653311 on OpenAlex
Christine Novy, Marie-Christine Ranger, Roanne Thomas

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Applied Arts and Health · 2022
Typearticle
Languageen
FieldPsychology
TopicLanguage, Metaphor, and Cognition
Canadian institutionsUniversity of Ottawa
FundersCanada Research Chairs
KeywordsMetaphorContext (archaeology)Interpretative phenomenological analysisPsychologySociologyQualitative researchSocial sciencePhilosophyLinguisticsHistory

Abstract

fetched live from OpenAlex

Metaphoric language is common in cancer discourse. However, prevailing military and journey metaphors may not capture variation in cancer experiences. In this article, the authors describe an art-based community research programme for women who had experienced cancer. Taking a phenomenological approach, the article examines how artmaking processes and materials were used by the study participants to shape their own metaphoric thought and, thereby, to articulate a more intimate understanding of their cancer experiences. The authors discuss four themes arising from their findings: (1) experiencing metaphor at its source, (2) artworks as insight cultivators, (3) art as process and metaphor for understanding cancer and (4) alternative metaphors for the cancer experience. Artmaking may be a means to enhance phenomenological data collection in the context of cancer experiences. By capturing variation in women’s cancer experiences, it may also lead to improvements in cancer survivorship care.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.088
Threshold uncertainty score0.959

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.198
GPT teacher head0.385
Teacher spread0.187 · 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