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Record W2074240018 · doi:10.3138/ecf.26.1.93

The Vehicle of the Soul: Motion and Emotion in Vehicular It-Narratives

2013· article· en· W2074240018 on OpenAlexvenueno aff
Sara Landreth

Bibliographic record

VenueEighteenth-Century Fiction · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Philosophy and Science
Canadian institutionsnot available
Fundersnot available
KeywordsSoulPassionsNarrativeEnlightenmentIntellectMotion (physics)AestheticsPhilosophySociologyEpistemologyClassical mechanicsPhysicsLinguistics

Abstract

fetched live from OpenAlex

Vehicular it-narratives grappled with Enlightenment debates about the nature of both the mind/soul and self-motion. For many eighteenth-century writers, spatial motion was a crucial component of the study of human nature. Changes in movement could cause changes in one’s passions, intellect, and sympathetic interactions with other people. Vehicle-narrators exemplify the ways in which transportation might result in passionate transport. These texts also investigate important analogies between Newtonian law and the laws of human nature: do the motions of the mind/soul obey the same laws as physical bodies? Is the mind/soul self-moving, or is it moved by outside forces? In order to understand the centrality of the concept of motion in Enlightenment texts, we must suspend modern assumptions that, in its literal sense, motion necessarily denotes a physical object moving through space. In asking whether the mind or matter caused a living being to move, stories told by coaches, cabriolets, and sedans show that the it-narrative genre was as much engaged with philosophical problems as it was with social ones.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.784
Threshold uncertainty score0.464

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.017
GPT teacher head0.196
Teacher spread0.179 · 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 teacher head, 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

Citations1
Published2013
Admission routes1
Has abstractyes

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