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
Abstract: Stereoscopic 3D images, although going back to the mid-nineteenth century, are becoming pervasive in cinema, the Web, electronic games, television, graphic simulations, personal photography, and the entertainment and education ecologies. The use of stereo 3D goes beyond a technology vogue to the creation of effective experiences that are more naturally engaging for audiences by conveying real physical depth perception and the illusions of tangibility and tactility. This paper claims that because museums are all about compelling, memorable, and visceral experiences, 3D will become an increasingly important tool for exhibitions, education, and interpretation; the challenge will be to know when, how, and why to use it. Stereo 3D is described and a trajectory of examples of past and current museum use is presented. The paper also provides a rationale for why, when many technologies are vying for priority and resources, stereoscopic 3D technology should be near the top of the list.
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 | 0.001 | 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 | 0.000 |
| 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