Bibliographic record
Abstract
In this publication you will find:Hosting the hybrid cityThis is a text in which Hermen Maat and Karen Lancel provide insights into the meaning of the word ‘role’ and into the position of the role of the ‘host’ in their own artistic practice. Their artistic research into this role was the starting point for both research modulesThe artist as host: on theories and interactive networked mushrooms.In the second text Hermen Maat clarifies how he translated this concept into two teaching modules. He explains how in one module the focus of the search was interesting examples of artist’s roles, and how in the other module technical issues shed a different light on the relationship between artist and audience.Student researchAfter this, you will find the work of students, introduced by Hermen Maat. Contributions from the theme class:Anna Weyer, Germany; Chan Lai Kuen, Malaysia; Katrina Jongsma, Canada; Rosemarie Pringle, Germany; Angie Daniels, South Africa/Germany; Niya Konstantinova, Bulgaria; Gothards Prieditis, Latvia; Ruben Jager,Netherlands. Contributions from the interactive media class: Helena Van Zuylen, Netherlands; Suzanne Vellema, Netherlands; Vanina Tsvetkova, Bulgaria; Jorine Homan, Netherlands; Cindy Wegner, Germany; Lotte Middendorp, Netherlands; Sander Bos, Netherlands; Chan Lai Kuen, Malaysia; Iris Leenknegt, Netherlands.The urgency of the role of the host In the afterword Anke Coumans, professor of the research group Image in Context, talks about the importance of this research for the work of the Centre of Applied Research and Innovation Art & Society into the new roles of artists and designers in society.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.014 | 0.008 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.112 | 0.019 |
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".