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
Cultural heritage artifacts connect us to past generations and provide links to previous worlds that are beyond our reach. We developed TombSeer, an augmented reality application that aims to immerse the wearer in a museum space engaging two senses (seeing and gesturing) through a holographic heads-up interface that brings virtual, historical artifacts “back to life” through gestural interactivity. This article introduces the TombSeer software prototype and highlights the application of embodied interaction to museum visits using an emerging hardware platform for 3D interactive holographic images (e.g., Meta head-mounted display). This article discusses the TombSeer prototype's development and functionality testing with the Tomb of Kitines exhibit, which was conducted at The Royal Ontario Museum in Toronto, Canada. TombSeer's embodied gestural and visual augmented reality experience functions to aesthetically enhance museum exhibits, cultural heritage sites, and galleries.
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 | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| 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