Scientific Analysis of Manuscript Toronto, Thomas Fisher Rare Book Library, MSS 09700
Bibliographic record
Abstract
This dataset was created in the context of the following study: Sebastian Bosch and Andreas Janke, “Manuscript Illumination in 19th-century Italy. Material Analysis of Two Partial Copies from the Squarcialupi Codex” <em>Open Information Science</em>, vol. 5, no. 1, 2021, pp. 63-88. The data was recorded with the following instruments. We refer to the foliation numbers as used in the manuscript. <strong>R_DINO:</strong><br> micrographs (bmp files) recorded under visible (VIS), ultraviolet (UV) and near infrared (NIR) light with the three-colour imaging USB microscope (Dino-lite AD413T-I2V, Metav, Germany);<br> <strong>folder <strong>“</strong>spots_pdf<strong>”</strong></strong>: documentation of microscopy spots (pdf files) <br> <strong>VIS_EXACT:</strong><br> <strong>folder <strong>“</strong>raw<strong>”</strong></strong>: raw spectra (xlsx files) recorded with the portable visible reflectance spectrometer EXACT (X-rite GmbH, Germany);<br> <strong>folder <strong>“</strong>spots_pdf<strong>”</strong></strong>: documentation of measurement spots (pdf files);<br> the raw data was further plotted and evaluated with the software OriginPro 2018G version b9.5.0.193 (opju files) <br> <strong>XRF_ELIO:<br> folder <strong>“</strong>raw<strong>”</strong></strong>: raw spectra recorded with the portable XRF spectrometer ELIO (XGLab S.R.L., Italy, software version 1.5.7.7) as a project file (Toronto 2018.xga) and as individual files (spx and txt) with micrographs exported from the ELIO camera for the measured gold areas in folder “pics_gold_bmp” as bmp files;<br> <strong>folder <strong>“</strong>results_csv<strong>”</strong></strong>: csv files with net intensity values of assigned elements evaluated by SPECTRA software, ARTAX 7.2.5.0 (Bruker Nano GmbH, Germany);<br> <strong>folder <strong>“</strong>spots_pdf<strong>”</strong></strong>: documentation of measurement spots (pdf files);<br> the raw data was further plotted and evaluated with the software OriginPro 2018G version b9.5.0.193 (opju files)
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.
How this classification was reachedexpand
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.006 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.047 | 0.004 |
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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".