MétaCan
Menu
Back to cohort
Record W2964835096 · doi:10.7202/1062153ar

Fairies, Passive Female Sexuality, and Idealized Female Archetypes at the Salons of the Rose + Croix

2019· article· fr· W2964835096 on OpenAlexvenueno aff
Mary Slavkin

Bibliographic record

VenueRACAR Revue d art canadienne · 2019
Typearticle
Languagefr
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsArtHumanities

Abstract

fetched live from OpenAlex

Les Salons de la Rose-Croix (1892–1897) intégraient des éléments catholiques et occultistes, et visaient généralement à présenter un art idéaliste qui saurait élever la société à une époque perçue comme dégénérescente. Les salons incluaient une grande variété d’images représentant des archétypes féminins idéalisés, dont des fées, des muses et des vierges. Le meneur du groupe, l’écrivain Joséphin Péladan, rédigea un guide pour les femmes dans lequel il dépeignit la fée type comme un exemple positif, parce qu’elle pratiquait uniquement une sexualité passive et charitable. Les oeuvres exposées rompent avec les hiérarchies et les types de Péladan en incorporant une gamme de références sur le rôle de la sexualité, les liens à la littérature et l’adoption de doctrines religieuses particulières. Malgré l’objectif idéaliste que partagent ces oeuvres, des variantes dans le modèle féérique mettent en évidence la présence de divergences au sein du groupe et d’écarts par rapport aux publications de Péladan.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.898
Threshold uncertainty score0.202

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.026
Scholarly communication0.0050.002
Open science0.0000.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0070.000

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 head0.018
GPT teacher head0.209
Teacher spread0.192 · 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

Citations1
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueRACAR Revue d art canadienneSame topicHistorical Studies and Socio-cultural AnalysisFrench-language works237,207