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Record W4384698543 · doi:10.1080/00822884.2023.2233268

Jesuit Cartography in the Rockies: Pierre-Jean De Smet and the Mapping of Native Landscapes of the American Northwest

2023· article· en· W4384698543 on OpenAlex
Mirela Slukan-Altić

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueTerrae Incognitae · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicArchaeology and Natural History
Canadian institutionsnot available
Fundersnot available
KeywordsFlemishState (computer science)GeographyCartographyPeriod (music)Government (linguistics)ArchaeologyHistoryArt

Abstract

fetched live from OpenAlex

In this paper, we study Jesuit mapmaking in North America in the period after the restoration of the Order (1814), when the Jesuits regained their important place as missionaries and explorers, playing a significant role in the mapping and territorialization of the United States. In the period between the 1830s and the 1850s, Flemish Jesuit Pierre-Jean De Smet mapped the territories of the future states of Iowa, Idaho, Montana, Colorado, Washington, Oregon, and South Dakota, as well as of the Canadian modern-states of Alberta and British Columbia. Apart from physical geography, he paid special attention to the human geography of the region, thus mapping Native American landscapes, US military installations, and other landmarks in the American Northwest. His maps gained considerable attention from the US Government and were thus used for updating official maps by the Topographic Corps and various state affairs documents.

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.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.371
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.003
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 head0.016
GPT teacher head0.281
Teacher spread0.265 · 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