Emerging technologies in a tele-collaborative design studio between the Pennsylvania State University and Carleton University
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
The research project investigates the use of a network-enabled platform (NEP) involving a combination of technologies that include: high bandwidth network infrastructure; high-performance visualization and computer cluster solutions; standard and high definition tele-presence/communication infrastructure; co-located immersive environments; and a range of modeling and imaging applications. The NEP enabled student teams in multiple locations to collaborate via on-demand, synchronous access to project data, visualization, modeling, simulation and multimodal interpersonal communication tools through a web service based dashboard interface that hid the logistic and technical complexities to the user. As a preliminary report on a proof-of-concept design studio conducted during the spring semester of 2007 between the Carleton Immersive Media Studio (CIMS) at Carleton University in Ottawa and the Immersive Environment Laboratory (IEL) at Pennsylvania State University, the paper first describes the implementation of this network-centric collaborative design platform. The report articulates the staging of the conditions of possibility for a dynamic interplay between technological mediation and the reality of making, then compares the use of high bandwidth technology with customized symmetrical toolsets in the tele-collaborative educational environment, versus commercial toolsets deployed over moderate bandwidth connections. In each setting, the collaborative environment is assessed according to issues encountered by students and design outcomes. The effectiveness of the digitally mediated collaborative studio is also gauged in terms of student reaction to the learning process via feedback surveys and questionnaires.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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