Are interface agents scapegoats? Attributions of responsibility in human–agent interaction
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 Are interface agents scapegoats? Attributions of responsibility in human–agent interaction Get access Alexander Serenko Alexander Serenko * Faculty of Business Administration, Lakehead University, 955 Oliver Road, Thunder Bay, Ont., Canada P7B 5E1 * Tel.: +1 807 343 8698; fax: +1 807 343 8443. E-mail address:aserenko@lakeheadu.ca Search for other works by this author on: Oxford Academic Google Scholar Interacting with Computers, Volume 19, Issue 2, March 2007, Pages 293–303, https://doi.org/10.1016/j.intcom.2006.07.005 Published: 12 September 2006 Article history Received: 26 July 2005 Revision received: 25 July 2006 Accepted: 26 July 2006 Published: 12 September 2006
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 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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