Bibliographic record
Abstract
Galicones is an academic database and digital library available in two languages: Spanish and English.It aims at reproducing, cataloguing, and improving access to a wide variety of engraved images taken from early modern illustrated books; that is, materials published between the sixteenth and eighteenth centuries and currently held at the Biblioteca General de la Universidad de Santiago de Compostela in Spain.The database was created in 2018 as an outcome of the research project La Gestin del Conocimiento en las Humanidades Digitales: Iconclass Index y Estudio Iconogrfico de una Muestra de la Coleccin de Libros Raros de la USC (Knowledge management in the digital humanities: Iconclass and the iconographic study of a selection of rare books at the USC).The project is currently directed by Carme Lpez Caldern, who is also responsible for the digital platform.The website is generally oriented to scholars in the field of iconography and, more particularly, to researchers interested in emblem books and related works.According to the website, this digital platform has two central objectives: (1) the iconographic analysis of the individual images identified and collected in the project; and (2) the reception of these images through the study of their ownership and potential readers.In relation to the first objective, the metadata associated with each printed element (which is referred to as an "object") incorporates Iconclass alphanumeric notations, which are hierarchical and seem to follow the revised methodology of Erwin Panofsky.Such an approach requires both an in-depth study of the illustrations and the systematic notation of their motifs, themes, and meanings, thus facilitating users' access to a full set of interpretations and allowing them to find new and opportune connections, in line with Jan Biaostocki's notion of "encompassing themes." 1 The second objective encompasses a study of the ex-libri preserved in the books included in the project.Information obtained from provenance marks are included in the metadata with the purpose of identifying past owners and readers-which include priests, laypeople, and religious and civil institutions-so 1. Biaostocki, "Encompassing Themes."
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) | 0.000 | 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 | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".