The “Opusmusiuum - Roman Mosaics in Portugal” Academic Project: from Teachers’ Lab to Public
Bibliographic record
Abstract
This paper will briefly describe an online academic project about Roman mosaics in Portugal created by students and a teacher during the Spring Semester 2011 at the Faculty of Social Sciences and Humanities, NOVA University, Lisbon. The project is titled “Opusmusiuum- Roman Mosaics in Portugal” and just as the muses have inspired the work of mosaics, students were enthusiastically involved in making their idea come to light i.e. preparing quality information about Roman mosaics found in Portugal either in situ or in museums for a website catalogue. The contents would be displayed to students, researchers and lay public through short vi-deos, audio recordings and short texts. Eventually, this website would fulfil a gap in the specialized Portuguese literature on this topic.On June 2011, Professor José Maria Blázquez Martínez attended the V. International Symposium of the Mosaic Corpus of Türkiye in Kahramanmaraş, Turkey, where a group of Portuguese and Spanish researchers met. His enthusiasm for the potentialities of the study of mosaics and the joy for new discoveries have always motivated students and colleagues to continue investigation. In Kahramanmaraş, his inspiring example made me think about academia as an exciting place were ideas are born and shared, a challenging environment I would call, a “teachers’ lab.” The “Opusmusiuum- Roman Mosaics in Portugal” project was the result of a teachers’ lab and now that seven years have passed since it was devised in a classroom I think that its goals, achievements (though incomplete) and values of good scientific practice are worthy of paying tribute to an inspiring Professor. Like Professor Blázquez, we persevere in this task hoping one day the Opusmusiuum will meet its public.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.004 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 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; a candidate call from one source (direct Gemma or distilled Codex), 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".