Schooner 05: Poisson Mesh & Z-Brush Sculpting
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
This model is a combination of automated Poisson surface generation in Meshlab, and sculpting of the resultant model to account for blind spots in the original data and errors in the automated mesh generations. This schooner was found near Toronto's Fort York, unearthed along with the Queen's Wharf during a construction project. Scanning was done prior to removal for record keeping and reinforcement/rigging planning. The schooner is believe to date to the 18th-century. Check the data out here: https://skfb.ly/EMnT. A FARO Focus and Freestyle were used for the data capture. A news article on the removal of the schooner can be found here: http://www.cbc.ca/news/canada/toronto/toronto-schooner-recovered-from-construction-site-moved-to-fort-york-1.3099614 Source: Objaverse 1.0 / Sketchfab
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.019 |
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