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Record W7034643903

Troublesome Trials: How a Parisian Legal Practitioner Disrupted the Order of New France

2021· article· en· W7034643903 on OpenAlexaboutno aff

Bibliographic record

VenueProject Muse (Johns Hopkins University) · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicNuclear Issues and Defense
Canadian institutionsnot available
Fundersnot available
KeywordsPaternalismPower (physics)Order (exchange)HierarchyInstitutionSocial orderMonarchyColonialismLegislation
DOInot available

Abstract

fetched live from OpenAlex

In 1740, at Quebec’s highest court, a Native woman openly challenged the authority of her alleged master. Such direct challenges to hierarchy were rare in New France, but not for the individual who represented the plaintiff, Jacques Nouette de la Poufellerie. He hailed from a family of advocates in the Parlement of Paris, an important counterweight institution to monarchical power in France. During a brief but action-packed stay in the colony, Nouette represented more than one hundred parties before Intendant Gilles Hocquart ordered Nouette’s departure in 1743. Even when he did not win his cases, Nouette disrupted the colonial order through his practice of law. Employing ardent oral argument, Nouette questioned two important social institutions: slavery and marriage. His growing clientage cluster, furthermore, threatened the colony’s hierarchical order. In his outspoken approach toward both military and ecclesiastical authorities, Nouette was distinct from the colony’s other legal representatives. Unlike their counterparts in other early modern settings, Quebec’s professional legal representatives did not emerge as spokespeople for the public until the nineteenth century. The exceptional case of troublesome Nouette illuminates a paternalistic approach to law and power in New France.

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)0.010
metaresearch head score (Gemma)0.021
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: none
Teacher disagreement score0.762
Threshold uncertainty score0.474

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.021
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0490.040
Scholarly communication0.0170.007
Open science0.0020.006
Research integrity0.0100.014
Insufficient payload (model declined to judge)0.0090.001

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 head0.044
GPT teacher head0.296
Teacher spread0.252 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueProject Muse (Johns Hopkins University)→Same topicNuclear Issues and Defense→French-language works237,207→