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Record W3164722907 · doi:10.1163/22141332-0803p001

Introduction: The Archaeology of Jesuit Sites in the Americas

2021· article· en· W3164722907 on OpenAlexfundno aff
Stephan Lenik, Laura E. Masur

Bibliographic record

VenueJournal of Jesuit Studies · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical and Cultural Archaeology Studies
Canadian institutionsnot available
FundersUniversity of TorontoUniversity of OxfordUniversity of CambridgeSmithsonian Institution
KeywordsArchaeologyExcavationHistoryAnthropologyArchaeology of the AmericasArchaeological recordChurch historyClassicsGeographySociology

Abstract

fetched live from OpenAlex

Abstract The archaeological record of Jesuit sites in the Americas preserves an essential resource for the study of daily life among individuals in the Jesuit sphere of influence. The full potential of an archaeological synthesis of these sites has yet to be realized, since systematic excavations have occurred at only a relatively small number of Jesuit sites in the American continents and the Caribbean. This essay serves to introduce a collection of five archaeological case studies and a conclusion, which show how archaeology complements the written histories of Jesuits from Nasca to New France. These case studies address several major themes, including the definition of mission sites, scales of analysis, the nature of missionary “success,” and overcoming historical silences. In particular, they articulate the influence of Jesuit missionaries on the material worlds of numerous cosmopolitan communities of colonists, enslaved Africans, and American Indians.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.070
Threshold uncertainty score0.140

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0080.004
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.064
GPT teacher head0.359
Teacher spread0.294 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2021
Admission routes1
Has abstractyes

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