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Record W2002717231 · doi:10.1080/09540253.2010.490204

‘So she has been educated by a vulgar, silly, conceited French governess!’ Social anxieties, satirical portraits, and the eighteenth‐century French instructor

2011· article· en· W2002717231 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueGender and Education · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicGender Studies in Language
Canadian institutionsUniversity of Toronto
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsJacobinFrench revolutionPortraitLiteratureSociologyComedyFrench literatureHistoryGender studiesArtArt historyPolitical scienceLaw

Abstract

fetched live from OpenAlex

Maria Edgeworth’s pedagogical short stories ‘Mademoiselle Panache’ (1800, 1801) and ‘The Good French Governess’ (1801) portray contrasting French instructors, and illustrate a transformation in English girls’ education in French at the end of the eighteenth century. While ‘Mademoiselle Panache’ looks back to the disingenuous French instructors of eighteenth‐century comedy, demonstrating English anxieties about the supposedly corrupting influence of the French on young girls, ‘The Good French Governess’ shows the positive influence of French émigrés in late eighteenth‐century French instruction. In contrast to critical assumptions that the English public’s outraged response to the French Revolution terminated English interest in all things French, these and other contemporary texts show that English girls’ education in French was not diminished by anti‐Jacobin attitudes, and indeed flourished into the nineteenth century.

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)0.000
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.654
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.002
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 head0.033
GPT teacher head0.276
Teacher spread0.242 · 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