The aesthetic rationality of the popular expressive arts: Lifeworld communication among breast cancer survivors living with lymphedema
Bibliographic record
Abstract
The use of popular expressive arts as antidotes to the pathologies of the parallel processes of lifeworld colonization and cultural impoverishment has been under-theorized. This article enters the void with a project in which breast cancer survivors used collages and installations of everyday objects to solicit their authentic expression of the psycho-social impacts of lymphedema. The article enlists Jurgen Habermas' communicative action theory to explore the potential of these expressive arts to expand participants' meaningful engagement with their lifeworlds. The findings point to the unique non-linguistic discursivity of these non-institutional artistic forms as their liberating power to disclose silenced human needs: the images 'spoke' for themselves for group members to recognize shared subjectivities. The authenticity claims inherent in the art forms fostered collective reflexivity and spontaneous, affective responses and compelled the group to create new collective understandings of the experience of living with lymphedema. The article contributes theoretical insights regarding the emancipatory potential of aesthetic-expressive rationality, an under-developed area of Habermasian theory of communicative action, and to the burgeoning literature on arts-based methods in social scientific research.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.017 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".