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Record W2521228832 · doi:10.3138/cras.2016.004

Something to Be Done: <i>The Road</i>, Beckett, and American Autonomy

2016· article· en· W2521228832 on OpenAlexvenueno aff
Geoff Hamilton

Bibliographic record

VenueCanadian Review of American Studies · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicModern American Literature Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAutonomyNarrativeAction (physics)Software deploymentAestheticsIsolation (microbiology)Natural (archaeology)SociologyHistoryEnvironmental ethicsPhilosophyEpistemologyLiteratureArtLawComputer sciencePolitical scienceArchaeology

Abstract

fetched live from OpenAlex

Cormac McCarthy’s “use” of Beckett in The Road involves, at its most profound level, the symbolic deployment and roadside rejection of what his precursor’s work is assumed to convey. The novel would affirm, in its turn away from Beckett’s emphasis on the tortu(r)ous isolation of the self, the plausibility of radical personal autonomy, self-authorizing in its holy rituals, dynamic in translating its convictions into action, and capable of sustaining belief in divine and human love, even in the absence of a vital human community or natural environment. The Road proffers, at last, an archetypal narrative of rugged self-reliance in extremis.

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)0.002
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.019
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0070.024
Scholarly communication0.0080.006
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.038
GPT teacher head0.288
Teacher spread0.250 · 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 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

Citations2
Published2016
Admission routes1
Has abstractyes

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