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"Votre tres humble & obeissante soeur et seruante" L'usage des conventions orthographiques nouvelles dans les �loges fun�bres monastiques �crits par les Ursulines de France et de Nouvelle-France entre le XVIIe et le XIXe si�cle

2018· dissertation· fr· W4282030141 on OpenAlexaboutno aff
Natacha Jeudy

Bibliographic record

Venuenot available
Typedissertation
Languagefr
FieldArts and Humanities
TopicHistorical Linguistics and Language Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPeriod (music)History

Abstract

fetched live from OpenAlex

In France, the 17th century was a crucial period for the development of written French. New spelling rules were implemented but older ones were still in favor. When secular and religious elites established themselves in colonial Nouvelle France, (i.e., Canada and the United States), they brought in this set of old and more modern conventions. Rare are the studies consecrated on hand-written French in the 17th century. Although a few researchers have looked at the literature produced by some famous French sisters, no one has ever studied their orthography. The originality of this dissertation arises from its protagonists—secluded religious women writing about women over two centuries—, but also from a rarely studied literary genre: monastic eulogies. Even though rhetorical genre is widely mentioned and studied in the Humanities, the monastic eulogy in itself, as written by the Ursulines in their annals, mortuary records and circular letters, remains to be understood. Indeed, each document presents a unique discursive structure, reflecting its complexity. The main objective of my dissertation is the understanding of the evolution of written French within the religious world. To do so, I have decided to study twelve orthographic conventions in 618 monastic eulogies, all hand-written between the years of 1641 and 1835 by Ursulines in France, Quebec, and New Orleans. The French corpus is composed of 369 eulogies, written in 39 Ursulines convents between 1676 and 1792. This corpus is a solid starting point to my analysis as it helps me contextualize, and grasp, the orthographic tendencies in France at the time. 195 manuscripts were collected in Québec (1689–1800), while 54 are from New Orleans (1727–1835).

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.799
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0050.002
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.023
GPT teacher head0.288
Teacher spread0.264 · 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; both teacher heads agree on what is shown here.

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
Published2018
Admission routes1
Has abstractyes

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