Digital eco-art: transformative possibilities
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.
Bibliographic record
Abstract
Cave paintings bear witness that, early in human cultural development, art and the means to create it (technology) became a method of expression and translation of human interconnectedness with nature defined as the non-human-made world. Contemporary new media artists interacting with nature through the medium of digital technologies in situ continue this exploration within the genre referred to as “digital eco-art”. LocoMotoArt, an independently powered creative field system, was used as a vehicle for conducting media arts practice in natural settings during a three-year qualitative field research project. Findings indicate that human–technology–nature interconnectedness is a possible conduit for establishing a role for digital technology beyond social networking, computing, information gathering and gaming to engage with nature. We argue that digital eco-artists are at the vanguard of creating a new sense of aesthetic and environmental engagement, proportions of which emerge as transformative possibilities. The art experience of digital eco-art can change from being a contemplative one to a living experience.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.005 |
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 it