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Record W6982364591

Il laterizio nei cantieri della Puglia centro-settentrionale tardoantica e medievale tra reimpieghi e nuove costruzioni

2021· article· en· W6982364591 on OpenAlexaboutno aff

Bibliographic record

VenueCINECA IRIS Institutional Research Information System (University of Bari Aldo Moro) · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicPolicing Practices and Perceptions
Canadian institutionsnot available
Fundersnot available
KeywordsTerracottaAntiqueBrickQuarter (Canadian coin)Middle AgesAdobeProduction (economics)Papyrus
DOInot available

Abstract

fetched live from OpenAlex

The brick in late antique and medieval central and northern Apulia between reuse and new productions In Roman times, in central and northern Apulia, the use of clay in construction was not intensive, but reserved for specific functions. Production seems to be concentrated in the internal areas and linked to the major urban and rural settlements. The crisis in the sector takes place in the Late Antiquity, with different times among the various sites; in the towns production stopped between the 3rd and 4th centuries AD, except for Canosa, where in the 5th and 6th centuries an exceptional manufacturing of bricks for the building, managed by the Church, flourishes. In some rural contexts workshops of specific clay artefacts are also activated in the restructuring phases between the 4th and 5th centuries AD, to integrate reused bricks and tiles. With the exception of Faragola, production seems to have stopped in the early Middle Ages. In the advanced 11th and in 12th century when tiles reappear in the stratigraphies, but perhaps also new constructions employ bricks (Serracapriola), the manufacturing restarted. From the 13th century the use of newly made terracotta elements becomes more evident in various contexts, culminating in the construction of the Lucera fortress, undertaken by the Angevin rulers in the last quarter of the century, built largely with modular bricks, molded in the workshops planted on site and in the surrounding area. The elaboration of a mensiochronological curve of bricks for Lucera from the 14th to the 19th century made it possible to outline interesting and peculiar dynamics of the brick industry over the long term.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.768
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.001
Scholarly communication0.0000.003
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.081
GPT teacher head0.338
Teacher spread0.257 · 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.

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
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueCINECA IRIS Institutional Research Information System (University of Bari Aldo Moro)Same topicPolicing Practices and PerceptionsFrench-language works237,207