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Record W2783964687 · doi:10.1017/tam.2017.101

Patrimony Lost:<i>Hispanic-American Treasures in Foreign Collections</i>

2018· article· en· W2783964687 on OpenAlexaff
W. George Lovell

Bibliographic record

VenueThe Americas A Quarterly Review of Latin American History · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicLatin American history and culture
Canadian institutionsQueen's University
Fundersnot available
KeywordsCONQUESTIndigenousColonialismHistoryAnticipation (artificial intelligence)ArtArt historyGenealogyHumanitiesAncient historyArchaeologyComputer science

Abstract

fetched live from OpenAlex

The greatest thrill that any researcher can experience is coming across, quite unforeseen, priceless documents long given up as lost. In the case of myself and two close colleagues, Wendy Kramer and Christopher H. Lutz, the documents that have come to light and that have so delighted us include Libros de Cabildo numbers two and three of the city of Santiago de Guatemala, the capital of Spanish Central America. Libro Segundo is a register of events that took place between 1530 and 1541; Libro Tercero is a log spanning the years 1541 to 1553. Our incredulity at learning the whereabouts of these two volumes was matched, if not surpassed, by the anticipation of verifying their existence and thereafter consulting them, something that has not occurred (as best we can determine) in over a century. Far more than the minutes of mundane municipal affairs, these two Libros de Cabildo contain valuable information about Spanish conquest and colonization, and indigenous resistance to it, that will enhance considerably our understanding of the early colonial period, not only in Guatemala but throughout Central America. Furthermore, the Libros de Cabildo have proven to be the proverbial tip of the iceberg, for the cache of which they form part contains other treasures perhaps not quite so unique but nonetheless of significant historical worth.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.902
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
Bibliometrics0.0000.001
Science and technology studies0.0000.010
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.026
GPT teacher head0.244
Teacher spread0.218 · 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

Citations2
Published2018
Admission routes1
Has abstractyes

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