Designing interfaces that support formation of cognitive maps of transitional processes: an empirical study
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
Journal Article Designing interfaces that support formation of cognitive maps of transitional processes: an empirical study Get access Kamran Sedig, Kamran Sedig ⁎ a Department of Computer Science and Faculty of Information and Media Studies, The University of Western Ontario, Middlesex College, London, ON N6A 5B7, Canada ⁎ Tel.: +1 519 661 2111x86612; fax: +1 519 661 3506. E-mail address:sedig@uwo.ca (K. Sedig). Search for other works by this author on: Oxford Academic Google Scholar Sonja Rowhani, Sonja Rowhani b Department of Computer Science, The University of Western Ontario, Middlesex College, London, ON N6A 5B7, Canada Search for other works by this author on: Oxford Academic Google Scholar Hai-Ning Liang Hai-Ning Liang b Department of Computer Science, The University of Western Ontario, Middlesex College, London, ON N6A 5B7, Canada Search for other works by this author on: Oxford Academic Google Scholar Interacting with Computers, Volume 17, Issue 4, July 2005, Pages 419–452, https://doi.org/10.1016/j.intcom.2005.02.002 Published: 27 April 2005 Article history Received: 09 March 2004 Revision received: 15 October 2004 Accepted: 21 February 2005 Published: 27 April 2005
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 | 0.000 |
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