How Interactive Art Installations Can Be Utilized For Practices Of Mourning
Bibliographic record
Abstract
This research examines how interactive art installations can facilitate practices of mourning. The paper considers the following questions; 1) How does our relationship with space, time, and art affect how we mourn a deceased loved one? 2) How does space affect the living body when grieving? 3) How does time affect the memory of a departed loved one? 4) How does art therapy as meaning-making benefit the mourning process? The research engages with questions of perception, memory, inner and external space, and the embodied experiences of art. It offers an analysis through a phenomenological and socio-psychological lens of how art can be used to benefit the mourning process. The paper contains case studies examining current art installations and interactive art installations depicting mourning and grief. The paper explores how art and perception create meaning within our sense of self, and how this can benefit the grieving process.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.008 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 0.002 |
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".