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Record W4221041500 · doi:10.1080/00822884.2022.2046944

Geographical Knowledge as Power: The Role of the Society of Jesus and the Society of Foreign Missions of Paris in the Early Exploration of Louisiana

2022· article· en· W4221041500 on OpenAlexaboutno aff
Mirela Slukan-Altić

Bibliographic record

VenueTerrae Incognitae · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsJurisdictionPower (physics)NarrativePrincipal (computer security)ColonialismHistoryPolitical scienceLawArchaeologyArtLiterature

Abstract

fetched live from OpenAlex

The Society of Jesus and the Society of Foreign Missions of Paris played prominent roles in the early exploration of French Louisiana. The two societies competed over territorial jurisdiction since the presence of their missionaries provided privileged access to the latest geographical data. In times of exploration and colonial territorial expansion, geographical data proved to be an important lever of power, and French missionaries were one of the principal agents of acquiring and disseminating knowledge. We follow the role of the two mentioned missionary societies through the eyes of the Jesuit Father Paul du Ru, the priest of the Society of Foreign Missions of Paris, Francois Le Maire, and two Jesuit travelers, Antoine de Laval and François-Xavier Charlevoix. Their journals, travel narratives, and maps offer an early testimony to Louisiana’s rich history and cultural encounters between European settlers and native nations. This article is based on original research.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.170
Threshold uncertainty score0.339

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0140.028
Scholarly communication0.0090.004
Open science0.0010.004
Research integrity0.0010.002
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 head0.022
GPT teacher head0.225
Teacher spread0.203 · 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

Citations1
Published2022
Admission routes1
Has abstractyes

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