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Record W4411044695 · doi:10.57086/radar.934

Femmes païennes. Redéfinir la spiritualité grâce à une divinité féminine

2025· article· fr· W4411044695 on OpenAlexaff
Marine Cortese

Bibliographic record

VenueRadar · 2025
Typearticle
Languagefr
FieldSocial Sciences
TopicMulticulturalism, Politics, Migration, Gender
Canadian institutionsMicrosemi (Canada)
Fundersnot available
KeywordsMedicine

Abstract

fetched live from OpenAlex

Cet article explore la spiritualité dans l’art comme une forme d’empowerment pour les femmes marginalisées dans les cultes religieux occidentaux. Ce phénomène de marginalisation a été réinvesti lors de la seconde vague féministe des années 1960, et a donné lieu à l’émergence d’une nouvelle figure spirituelle féminine : la Déesse. Cette figure génère un mouvement à la fois spirituel et contre-symbolique, qui offre aux femmes croyantes et non croyantes un espace libéré des dynamiques religieuses patriarcales. Plus en accord avec leurs principes, ce courant permet aux femmes une liberté de leur corps et de leur sexualité, ainsi qu’une inclusivité qui n’était alors pas possible avec les religions monothéistes. Dans cet article, Marine Cortese étudie des artistes contemporaines des années 1970 à 1980 qui ont revalorisé les mythes, les rituels et le corps comme des espaces sacrés. Leur pratique entend construire une communauté spirituelle qui redéfinit la féminité et conteste les mécanismes oppressifs, liés à la prédominance masculine dans les religions monothéistes. En offrant aux femmes une alternative à la domination religieuse masculine, les artistes redéfinissent la spiritualité comme un espace d’expression artistique, de résistance et de transformation culturelle.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.006
Scholarly communication0.0020.002
Open science0.0000.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0140.001

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 head0.116
GPT teacher head0.410
Teacher spread0.294 · 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 designTheoretical or conceptual
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
Published2025
Admission routes1
Has abstractyes

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