Let's Symbiose and Be With. A cross-disciplinary research and expression of amor mundi through electrifying living networks
Bibliographic record
Abstract
The sand of the seafloor is filled with electricity. Although it has been like that for millions of years, only about a decade ago, a group of Danish researchers found out that a microscopic hair-like bacterium is responsible for it. These so-called cable bacteria make electrical wires to transport energy over their bodies – a formerly unknown form of life. This unique creature has made scientists excited, intrigued and … in love. The bacterium attracted a lot of interested minds to Denmark. The fascination for cable bacteria crosses all fields of knowledge, initiating the collaborative project between art and science and thus giving the opportunity for different audiences to feel connected to the subject, regardless of their profession or background. The result was an exciting collaboration between scientists Robin Bonné and Jean Manca, and artist Anna Pasco Bolta, to create an art performance where a cable bacterium was fished from the mud and a love letter was read through a cable bacterium. Through the joint cross-disciplinary love letters of artist and scientists, they express their shared amor mundi, love for life and the world, together with their concerns and critical questions related to the fragile connections between life and the world. The cross-fertilisation of this scientific and artistic research connects fundamental questions on biosphere and technosphere, life, love and technology, symbiosis through electrical networks in nature and in our connected digital world. The artwork travelled around Europe, Canada and Egypt, and included a performance in front of 1500 microbiologists.
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 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 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.031 |
| Scholarly communication | 0.017 | 0.021 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.005 | 0.011 |
| Insufficient payload (model declined to judge) | 0.022 | 0.012 |
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".