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Record W2955696744 · doi:10.57087/verbeia.2019.4063

Natural Urges as (Mis)Leading Forces in Annie Proulx’s Naturalistic New England and Newfoundland Fiction

2019· article· en· W2955696744 on OpenAlexaboutno aff
Daniel Maja

Bibliographic record

VenueVerbeia. · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsNaturalismInstinctNarrativeNatural (archaeology)PremiseContext (archaeology)HistoryPower (physics)Variety (cybernetics)SociologyHuman sexualityAestheticsLiteratureGender studiesEpistemologyArtPhilosophyComputer scienceArchaeology

Abstract

fetched live from OpenAlex

This paper’s premise is that Annie Proulx is a naturalistic writer; the mode she adapts inher narrative is recognized as the twenty-first century variety of naturalism. Theimportance of the environment, of the surrounding society’s collective characteristics andthe historical context its members happened to live in, are crucial and inestimable for the plots. Very special attention is given to sexuality; sexual desire seems to be anuncontrollable power. Natural urges govern protagonists’ lives and, together with mostbasic instincts, impulses and vices, lead, or rather mislead them in their choices. The goalof this paper will be to point these urges out and analyze their importance as vital factors.The examples provided will aim to reflect some of the characters’ archetypicallynaturalistic features Annie Proulx displays in her New England and Newfoundland fiction.

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 score0.312
Threshold uncertainty score0.627

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 studies0.0120.017
Scholarly communication0.0050.002
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.008
GPT teacher head0.247
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
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

Citations0
Published2019
Admission routes1
Has abstractyes

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