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Record W1626617493 · doi:10.3917/adh.112.0171

La marâtre dans la France d'Ancien Régime : intégration ou marginalité ?

2006· article· fr· W1626617493 on OpenAlexaff
Sylvie Perrier

Bibliographic record

VenueAnnales de Démographie Historique · 2006
Typearticle
Languagefr
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsHumanitiesPhilosophyMolecular biologyBiology

Abstract

fetched live from OpenAlex

<titre>R&#233;sum&#233;</titre>L&#8217;exp&#233;rience de la belle-parent&#233; f&#233;minine s&#8217;est d&#233;velopp&#233;e, durant l&#8217;Ancien R&#233;gime, malgr&#233; le poids des st&#233;r&#233;otypes qui faisaient de la mar&#226;tre un &#234;tre cruel, une mauvaise m&#232;re. Si l&#8217;histoire de Cendrillon nous vient spontan&#233;ment en t&#234;te &#224; l&#8217;&#233;vocation du personnage de la mar&#226;tre, c&#8217;est un ensemble plus vaste de repr&#233;sentations qui contribuaient &#224; faire de la seconde &#233;pouse une cible sociale de choix. Le langage, le th&#233;&#226;tre, les dictons populaires, mais aussi la position de l&#8217;&#201;glise et les &#233;crits des juristes faisaient de ce r&#244;le familial une identit&#233; difficile &#224; assumer. L&#8217;importance du remariage masculin dans la France moderne sugg&#232;re toutefois que la recomposition familiale &#233;tait une n&#233;cessit&#233; et que les individus r&#233;sistaient aux perceptions n&#233;gatives v&#233;hicul&#233;es dans leur communaut&#233;. Ainsi, les veufs h&#233;sitaient peu &#224; prendre une seconde &#233;pouse et ils trouvaient rapidement une partenaire pr&#234;te &#224; devenir une belle-m&#232;re. Pour ces femmes, &#234;tre mar&#226;tre n&#8217;&#233;tait pas n&#233;cessairement l&#8217;exp&#233;rience d&#8217;une vie, ni ce qui d&#233;finissait leur identit&#233;. Leur exp&#233;rience d&#233;pendait &#233;troitement de la dur&#233;e de l&#8217;union, de la configuration familiale et des dispositions financi&#232;res et patrimoniales prises par leur conjoint.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.625
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0030.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.009
GPT teacher head0.202
Teacher spread0.193 · 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 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

Citations7
Published2006
Admission routes1
Has abstractyes

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