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Record W2810781821 · doi:10.26658/jmr.440582

The “Opusmusiuum - Roman Mosaics in Portugal” Academic Project: from Teachers’ Lab to Public

2018· article· en· W2810781821 on OpenAlexfundno aff
Filomena Limão

Bibliographic record

VenueJournal of Mosaic Research · 2018
Typearticle
Languageen
FieldEngineering
TopicUrban Design and Spatial Analysis
Canadian institutionsnot available
FundersFundação para a Ciência e a TecnologiaFederation for the Humanities and Social Sciences
KeywordsPortugueseEnthusiasmLibrary scienceAcademic yearSociologyVisual artsHumanitiesArtMathematics educationPsychologyComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.086
Threshold uncertainty score0.761

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.095
GPT teacher head0.354
Teacher spread0.259 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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