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
This article gathers and analyses research on biosensing user-interface design strategies and empirical research approaches in human-computer interaction (HCI). Placing human experience at the core of the primary investigation, this research article will explore Soma Design strategies developed by researcher and computer scientist Kristina Höök and comparable approaches in human computer mediations. In addition, this article investigates the peculiarities of creating a container and expressive model for architectonic media based on WorldMaker Universe (WMU) schematic, a software framework for the development of computational artworks, created by scholar and artist Mark-David Hosale and explores works and research that intersect the art and science domains. This research document also offers a unique angle on the creative and technical processes of creating a bio-art installation and virtual sculpture called Somatic Interventions , developed as a group assignment for the Vertical Studio Lab course taught by Professor Mark-David Hosale at York University, Toronto, Canada. It will critically examine and question the sculpture design’s architectural choices and evaluate the biosignal feedback system that connects human participants to internally built artificial chemistry and multiple layers of unique state machines.
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 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it