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Record W2809605500 · doi:10.1093/fs/kny135

<i>Fictions modernistes du masculin–féminin: 1900–1940</i> . Sous la direction de A <scp>ndrea</scp> O <scp>berhuber</scp> , A <scp>lexandra</scp> A <scp>rvisais</scp> et M <scp>arie</scp> -C <scp>laude</scp> D <scp>ugas</scp> <i>Fictions modernistes du masculin–féminin: 1900–1940</i> . Sous la direction de OberhuberAndrea, ArvisaisAlexandra et DugasMarie-Claude. (Interférences.) Rennes: Presses universitaires de Rennes, 2016. 314 pp., ill.

2018· article· fr· W2809605500 on OpenAlexaboutno aff
Melanie Hawthorne

Bibliographic record

VenueFrench Studies · 2018
Typearticle
Languagefr
FieldArts and Humanities
TopicFrench Historical and Cultural Studies
Canadian institutionsnot available
Fundersnot available
KeywordsTheme (computing)Modernism (music)Art historyHistoryHumanitiesArtSociology

Abstract

fetched live from OpenAlex

Opening this edited volume is like opening a box of chocolates: so many delicious choices. What to choose? Where to start? One can dive in anywhere and find something tempting. This is not to say that there is no coherent, guiding principle to this edited collection of essays. As the editors explain in their Introduction, France has lagged behind in seeing modernism as a unifying literary movement when it comes to French authors; but approaching the years 1900–40 as a whole (a period often fragmented into the Belle Époque, the First World War, and the interwar years) allows a different perspective. What emerges is not fragmentation, but multiple variations on a theme, and that theme, the editors argue, revolves around gender issues. The editors note the continued difficulty of talking about gender in French because of a certain ongoing resistance to recognizing that genre can mean gender, not just species or sort in the aesthetic sense. Also, the emphasis on ‘des identités genrées’ (p. 25) in this project may not find favour in mainland France, where many feminist scholars reject what is perceived to be a misplaced North American challenge to universalist French values. Nevertheless, for those working on women writers in the first half of the twentieth century, those are familiar caveats and not impediments, as the essays illustrate. The volume grew out of a conference held at the Université de Montréal in 2013, and indeed some contributions still have the flavour of a brief intervention which one does not have time to develop beyond the allotted twenty minutes or so. But a bouchée can be a delicious temptation, and anyone who has wondered about some of the names of women writers offered up here will find something to chew on. Some authors are canonical (Colette), some becoming more so (Rachilde, Marcelle Tinayre), some have been known about for a long time on the fringes (Renée Vivien, Natalie Barney), and some are, for various reasons, newly emerging (Claude Cahun, Mireille Havet), but all are fascinating in their own right. The contributions are organized into four sections: ‘Modernismes littéraire et artistique’, ‘Reconfigurations du personnage féminin’, ‘Confusions identitaires’, and ‘Expérimentations modernistes’. Not all the essays are about individuals, not all the individuals are French (one is pleased to see Maya Deren getting some attention), nor writers (Deren again), nor even women (Georges Bernanos, Pierre Loti), but gender is always front and centre as a topic. Of course, chocolates do not make a meal, wonderful as they may be, and one longs for the more nutritional, filling, and sustaining content that a fuller treatment of these issues and authors would provide; but this is a rich beginning and a sampler to whet the appetite.

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)0.004
metaresearch head score (Gemma)0.034
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.092
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.034
Meta-epidemiology (narrow)0.0070.007
Meta-epidemiology (broad)0.0070.004
Bibliometrics0.0020.003
Science and technology studies0.0160.011
Scholarly communication0.0050.005
Open science0.0040.003
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0000.001

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 head0.018
GPT teacher head0.230
Teacher spread0.211 · 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
GenreOther

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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