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Record W2623613069 · doi:10.1093/fs/knx119

<i>Mind, Body, Motion, Matter: Eighteenth-Century British and French Literary Perspectives</i> . Edited by M <scp>ary</scp> H <scp>elen</scp> M <scp>c</scp> M <scp>urran</scp> and A <scp>lison</scp> C <scp>onway</scp> <i>Mind, Body, Motion, Matter: Eighteenth-Century British and French Literary Perspectives</i> . Edited by McMurranMary Helen and ConwayAlison. Toronto: University of Toronto Press, 2016. vi + 293 pp., ill.

2017· article· en· W2623613069 on OpenAlexaboutno aff
Gillian Dow

Bibliographic record

VenueFrench Studies · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical and Literary Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMaterialismEnlightenmentThe ImaginaryArt historyReading (process)PhilosophyLiteratureHistoryArtPsychoanalysisEpistemologyPsychology

Abstract

fetched live from OpenAlex

This volume represents one of the most recent interventions to the broad debate on cross-Channel exchanges. It is edited by scholars who have contributed greatly to this field, and the majority of its contributors are based in English departments. The collection, as a result, leans more towards coverage of English Enlightenment thinkers than of their French counterparts. Throughout, the collective lens is turned to eighteenth-century literature and philosophy, and, as co-editor Mary Helen McMurran points out in her single-authored Introduction, although these topics ‘would appear to invite interdisciplinary analysis’, each chapter is ‘premised instead on the eighteenth century’s pre-disciplinarity’ (p. 4). The collection is divided into two parts: ‘Pre-reflective Experience’, and ‘Materialisms’. In the former, essays by Ruth Mack and Jonathan Kramnick discuss Hogarth and Hobbes, David Alvarez reads Locke after Shaftesbury, and McMurran focuses on Joseph-François Lafitau’s Mœurs des sauvages (1724). In Part Two, the essays engage explicitly with literary texts, providing close readings of engagement with philosophical materialism. Here, Sara Landreth reads Defoe’s Consolidator and his Vision of the Angelick World, and Sarah Ellenzweig provides a fresh reading of Clarissa, using materialism’s teachings on the appetites to help us to understand the heroine — and her seducer. Kate E. Tunstall reads Sterne’s Tristram Shandy alongside Diderot’s Le Rêve de d’Alembert, pointing out that ‘the early modern materialist imaginary is not only stocked with clocks and machines, but also teeming with bugs’ (p. 219). Joanna Stalnaker provides a close reading of Diderot’s Éléments de physiologie, in which she explores Diderot’s philosophic life as one that — in the opinion of the philosophe — ‘tracked deep memory through its encyclopedic attempts to understand nature’ and was also ‘one that saw its own efforts as subject to the eventual annihilation of the self’ (p. 249). Finally, Vivasvan Soni’s Conclusion is given a privileged position. It is a fine essay with which to close this ambitious and thought-provoking study. The range of material explored here is impressive; for this reason, the collection may have benefited from a bibliography. On a related matter, I was frequently frustrated by not having dates of first publication provided in the main body of the essays — few scholars will be conversant with all the primary material in a volume of this broad scope. But these are quibbles. This collection will be of interest and value to all those interested in natural philosophy, materialism, the history of science, and cognitive humanities.

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: Review · Consensus signal: Review
Teacher disagreement score0.127
Threshold uncertainty score0.253

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0050.008
Scholarly communication0.0080.004
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0120.002

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 head0.007
GPT teacher head0.223
Teacher spread0.216 · 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
GenreReview

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
Published2017
Admission routes1
Has abstractyes

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