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Record W4317743299 · doi:10.3390/heritage6020048

From the Sea to the Land: An Archaeological Study of Iberian Footwear during the Early Modern Period

2023· article· en· W4317743299 on OpenAlexfundno aff
Carla Alferes Pinto, Ana Catarina Garcia, Íris Fragoso

Bibliographic record

VenueHeritage · 2023
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArchaeology and ancient environmental studies
Canadian institutionsnot available
FundersUniversidade Nova de LisboaFederation for the Humanities and Social Sciences
KeywordsExcavationArchaeologyPeriod (music)ParallelsHistoriographyHistoryArchaeological evidenceGeographyArtEngineering

Abstract

fetched live from OpenAlex

The study of Early Modern Iberian footwear is taking its first steps. Both historiography and archaeological research have devoted little attention to this issue and organic remains found in excavation even tend to be discarded. This paper will address the results of DRESS project’s questioning about courtly footwear, whose research benefited from a multidisciplinary team that included archaeologists familiar with the assemblages from which it was still possible to recover remains for analysis. The data provided and analysed starts with the study of the footwear evidence found in the Angra D shipwreck (Azores), a 16th century site. However, we soon noticed that this isolated study did not comprehensively provide information on the subject and two other intertidal archaeological sites were added: assemblages from Santa Clara-a-Velha (Poor Clares) Monastery in Coimbra (late 16th and 17th century), situated on the south bank of the Mondego River, and archaeological remains from the Campo das Cebolas (Old Market), on Lisbon waterfront (16th–17th century). Data from three archaeological sites were collected, drawn, and analysed, and a comparative methodology was applied. In the absence of syntheses for Iberian world, we used both critical bibliographies pertaining to North European collections and visual parallels, resulting on the first typological series of Iberian footwear.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.021
GPT teacher head0.217
Teacher spread0.196 · 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 designObservational
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

Citations4
Published2023
Admission routes1
Has abstractyes

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