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Record W3012651970 · doi:10.1093/fs/knz179

<i>Littérature et géographie</i> . Anthologie préparée par <scp>Rachel Bouvet</scp> <i>Littérature et géographie</i> . Anthologie préparée par BouvetRachel. (Approches de l’imaginaire, 7.) Québec: Presses de l’Université du Québec, 2018. x + 262 pp.

2019· article· fr· W3012651970 on OpenAlexaboutno aff
Daniel A. Finch-Race

Bibliographic record

VenueFrench Studies · 2019
Typearticle
Languagefr
FieldSocial Sciences
TopicHistorical Geography and Geographical Thought
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt historyArtCartographyGeography

Abstract

fetched live from OpenAlex

This pioneering anthology encompasses thirty years of works in French. Excerpts from monographs and chapters in edited volumes are compiled in a way that brings out new correspondences between concerns and methods. Rachel Bouvet’s six-page Introduction, which suggests a distinctive relationship between francophone culture and geography (p. 2), affirms that ‘l’espace a subi les contraintes imposées par le structuralisme, il a longtemps été confiné aux limites du texte, toute comme la description a été longtemps dévalorisée, conçue tout au plus comme une pause’ (p. 3). The volume explores the spatial turn by way of fourteen chapters in four parts: ‘Le Dialogue entre littérature et géographie’, ‘La Géopoétique et la géocritique’, ‘Lire le paysage’, and ‘Cartes, toponymes et métaphores organicistes’. We encounter leading-lights in the environmental humanities, with extracts from Kenneth White on geopoetics (1994), Bertrand Westphal on geocriticism (2007), and Michel Collot on literary geography (1988/2014). Marc Brosseau’s analysis of romans-géographes (1996), which constitutes the anthology’s first chapter, is referenced in Collot’s recent work and Bouvet’s geopoetic investigation (2015), which was inspired by several of the anthologized studies to ‘déplier l’espace romanesque en quatre temps, à partir de cette “vue” particulière des mathématiciens qui distingue le point, la ligne, la surface et le volume’ (p. 97). Throughout the collection, commonalities mingle with particularities: Brosseau addresses ‘le sens des lieux’ (p. 12), and Collot points to the ‘œuvre-lieu’ (p. 42); White’s concept of geopoetics combines science, philosophy, and poetry (p. 52), whereas Westphal’s geocriticism is all about multifocalization, multisensoriality, stratigraphy, and intertextuality (p. 108). Bachelard, Lefebvre, Deleuze, and Guattari are extensively quoted, as are Edward Relph on placelessness, Yi-Fu Tuan on space/place, and Paul Rodaway on sensuous geographies. Bertrand Lévy’s ‘Cartographie, littérature et résonance régionale’, here in French for the first time, highlights the difference between location and sense of place: ‘le lieu implique une histoire, une identité, des relations humaines, une charge symbolique, alors que la localisation implique un simple positionnement sur les axes de coordonnées x, y, z’ (p. 173). Amid a plethora of male theorists, Liliane Louvel’s ‘L’Œil cartographique du texte — subterfuges de l’iconotexte’ (2000) provides a judicious consideration of maps as generative instruments for fiction (p. 192), which is in keeping with Pierre Jourde’s discussion of imaginary geographies (1991), notably the visualization of Madeleine de Scudéry’s Carte de Tendre (p. 203) and Tolkien’s Middle Earth (pp. 207–09). In the absence of an index, the volume closes with a ten-page bibliography in six sections: ‘Espace littéraire — géographie littéraire’, ‘Géopoétique’, ‘Géocritique’, ‘Espace’, ‘Paysage’, and ‘Carte’. Despite the preponderance of references in French indicating limited interactions between linguistic contexts, the collected pieces offer plenty of inspiration for exploring diverse kinds of physical and human geographies across varied media.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.669
Threshold uncertainty score0.659

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0040.002
Scholarly communication0.0060.002
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.1420.037

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 head0.014
GPT teacher head0.253
Teacher spread0.239 · 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
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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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