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Record W4405281151 · doi:10.36253/979-12-215-0530-6.07

The Formation of Medieval Territories in Mountain areas. A perspective from archaeology and written records at Caramulo (Lafões, central-northern Portugal)

2024· book-chapter· en· W4405281151 on OpenAlexfundno aff
Daniel Melo, Catarina Tente

Bibliographic record

VenueReti medievali e-book · 2024
Typebook-chapter
Languageen
FieldArts and Humanities
TopicMedieval Architecture and Archaeology
Canadian institutionsnot available
FundersFederation for the Humanities and Social Sciences
KeywordsSettlement (finance)ArchaeologyGeographyDocumentationScale (ratio)Middle AgesRural settlementPerspective (graphical)HistoryRural areaCartographyPolitical science

Abstract

fetched live from OpenAlex

The research that has been carried out in the Lafões/Caramulo area (central-northern Portugal) has made it possible to acquire new data on the formation of medieval territories in a mountainous area. The present paper uses data from written documentation and archaeological data to make a first approach to the study of the of the formation processes of village territories and the different-scale sociopolitical processes that were behind these processes. The focus of this study are two medieval parishes which occupy the most mountainous areas of the present-day municipality of Vouzela. The available data show significant differences between the two, particularly in the configuration of the settlement and its dynamics over time. While in one the settlement areas are quite stable, the other records changes in the settlement structure, with new foundations and abandonments throughout the Middle Ages. As far as it is possible to understand, these differences are fundamentally correlated with the actors who played in each of these territories. In fact, it was social differences of local scales which were mainly responsible for these differences in the definition of territories, ownership of rural properties, size of plots, settlement patterns and surely socio-economic practices. Micro-scale politics have determined different histories and settlement features.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.771
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.004
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.013
GPT teacher head0.220
Teacher spread0.207 · 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 designTheoretical or conceptual
Domainnot available
GenreOther

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
Published2024
Admission routes1
Has abstractyes

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