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Record W2970868741 · doi:10.3138/ecf.32.3.381

Robinson Crusoe and the Earthy Ground

2020· article· en· W2970868741 on OpenAlexvenueno aff
James Robert Wood

Bibliographic record

VenueEighteenth-Century Fiction · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicTravel Writing and Literature
Canadian institutionsnot available
Fundersnot available
KeywordsTrilogyAdventurePhilosophyEarth (classical element)HumanityLiteratureDestiny (ISS module)MetaphorHistoryAstrobiologyArtArt historyTheology

Abstract

fetched live from OpenAlex

This essay argues that the Crusoe trilogy works to bring the character Robinson Crusoe close to the earth, even to the point of merging him with a vital earthiness more powerful than he. In doing so, Daniel Defoe draws on the Genesis account of humanity’s origin in the earth and destiny to return to it. He also follows early modern scientists in departing from the Aristotel ian understanding of the earth as an inert element, instead viewing it as a dynamic substance comprised of heterogeneous parts. The Strange Surprising Adventures of Robinson Crusoe (1719) envisages the earth as an agent that mediates be tween the novel’s spiritual and material worlds. The Farther Adventures of Robinson Crusoe (1719) uses the ambiguities of the terms “China” and “earth” as a means of moving from individual colonial and commercial projects to the planet as a whole. The Serious Reflections of Robinson Crusoe (1720) attempts to bring the work of spiritual self-examination down to earth through anecdote and metaphor.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.025

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 studies0.0050.019
Scholarly communication0.0050.003
Open science0.0000.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.016
GPT teacher head0.184
Teacher spread0.169 · 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
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

Citations2
Published2020
Admission routes1
Has abstractyes

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