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Record W3168706035 · doi:10.15290/mhi.2020.19.01.17

Entre glosas y censuras. Recepción y circulación del Corpus Iuris Civilis en la nueva España (siglos XVI y XVII)

2020· article· en· W3168706035 on OpenAlexaff

Bibliographic record

VenueMiscellanea Historico-Iuridica · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical Economic and Legal Thought
Canadian institutionsBarrie Urology Group
Fundersnot available
KeywordsCONQUESTHistoriographyHumanitiesLatin AmericansPeriod (music)Order (exchange)HistoryArtPolitical scienceLawAncient historyArchaeology

Abstract

fetched live from OpenAlex

The purpose of this article is to show the reception and circulation of the Corpus Iuris Civilis the New Spain (Mexico) during the XVI and XVII centuries. It analyzes the importance of the Roman law as a part of the phenomenon of legal reception in the Spanish America. It studies the readings, comments and censorships of the different editions of these books, which were introduced extensively since the first decades of the American conquest. In the recent years, the Latin American historiography has analyzed the reception of the ius commune in the Spanish colonies, but it appears to give more priority to other legal sources as laws and customs. As a result of this point of view, it has been forgotten the knowledge contained in the legal books. In this research, my main sources are the books preserved in the Mexican National Library. The choice of the materials is due to it preserves the prints of some of the major libraries during this period (university, seminars and religious colleges). In order to achieve this objective, I analyze my period according to the Robert Darnton’s communication circuit. This methodological model focuses on the role of authors, publishers, printers, distributors and readers in the process of production, distribution and consumption of the books.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.916
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.003

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 head0.017
GPT teacher head0.242
Teacher spread0.225 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2020
Admission routes1
Has abstractyes

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