Sustainable archaeology through progressive assembly 3D digitization
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
AbstractThree-dimensional object scanning for both diagnostic and collection management has become more accepted within archaeological research over the last few years. However, the ability to scan vast numbers of cultural artefacts effectively has been stunted by the lack of technical expertise, cost of both hardware and software tools, and access to full collections. This article examines the issues related to mass scanning techniques and their potential effectiveness to enable research on and access to extensive archaeological collections. It attempts to lay the groundwork for sustainable and effective scanning methodologies within multiple contexts of practice, including cultural resource management and collections management facilities.Keywords: 3D scanningstructured light scanner3D visualizationcultural resource management AcknowledgementsSustainable Archaeology and Museum of Ontario Archaeology staff, particularly Christine Saly, Kira Westby, Dr Rhonda Bathurst and Zoe Morris, were a huge support to the project, as were Thomas Tong and Kai Wong at 3D3 Solutions.FundingThis project was funded by the Canada Foundation for Innovation, Ontario Research Fund, Ontario Ministry of Culture, Sport and Recreation Museum Technology Fund, a graduate student Accelerate Internship program supported by MITACS, and a partnership with theskonkworks incorporated.Notes1 In a separate part of the SA facility are three 2D photography light-box stations where higher-resolution, 16-megapixel DSLRs generate high-quality images of all objects entering SA.Additional informationNotes on contributorsNamir AhmedNamir Ahmed, MA candidate, Western University, is the Sustainable Archaeology Animation Unit Project Coordinator.Michael CarterMichael Carter, PhD candidate, Western University, is the Program Coordinator – Digital Specialization Program, Digital Media Zone and Masters in Digital Media Program, Ryerson University.Neal FerrisNeal Ferris, Lawson Chair of Canadian Archaeology, Western University and Museum of Ontario Archaeology, is the Principal Investigator for Sustainable Archaeology.
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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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