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Record W3097319590

Dynamiques communicationnelles entre les Jésuites et l'État à propos du missionnariat jésuite en Nouvelle-France, 1663-1701

2019· article· fr· W3097319590 on OpenAlexfundaboutno aff
Aurélie Henrion

Bibliographic record

VenueArchipelago (University of Quebec in Montreal) · 2019
Typearticle
Languagefr
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsnot available
FundersQueen's UniversityMcGill University
KeywordsHumanitiesArtPolitical science
DOInot available

Abstract

fetched live from OpenAlex

Ce mémoire de recherche porte sur les relations entre les Jésuites et le gouvernement colonial en Nouvelle-France dans la seconde moitié du XVIIe siècle. Il analyse plus précisément l'évolution des pratiques communicationnelles et des stratégies discursives de ces deux acteurs entre l'établissement du gouvernement royal en 1663 et la conclusion de la Grande Paix de Montréal en 1701. La forte centralisation du pouvoir temporel avec le passage à la colonie royale et l'introduction d'autres ordres catholiques dans la colonie entraînent alors pour les Jésuites la diminution de leur indépendance et de leur influence dans les prises de décisions concernant l'ensemble de la vie politico-économique. Les Jésuites sont notamment l'objet de critiques plus ou moins sévères de la part des autorités royales et coloniales. En réaction, ils mettent en place des stratégies communicationnelles qui s'adaptent aux circonstances. Pourtant, derrière les critiques se cache une relation ambivalente entre les Jésuites et l'État, relation marquée par une dépendance mutuelle plus ou moins assumée. Le mémoire permet donc de comprendre comment évolue, dans la seconde moitié du XVIIe siècle, le rôle occupé par les Jésuites au sein de l'administration coloniale et, plus largement, comment se redéfinie la place de l'entreprise missionnaire au sein du projet colonial français en Amérique.

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)0.000
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.338
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.008
GPT teacher head0.186
Teacher spread0.179 · 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 designQualitative
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

Citations0
Published2019
Admission routes2
Has abstractyes

Explore more

Same venueArchipelago (University of Quebec in Montreal)Same topicHistorical Studies and Socio-cultural AnalysisFrench-language works237,207