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Record W2442777258 · doi:10.3968/8504

Coping With Grim Dystopia: A Re-Reading of The Fire-Dwellers

2016· article· en· W2442777258 on OpenAlexvenueaboutno aff
Thomas F. Rose, Asha Susan Jacob

Bibliographic record

VenueStudies in literature and language · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicContemporary Literature and Criticism
Canadian institutionsnot available
Fundersnot available
KeywordsDystopiaNarrativeHistoryPostmodernismAestheticsCoping (psychology)ConsciousnessPsychologyLiteratureSociologyPsychoanalysisArtPsychotherapist

Abstract

fetched live from OpenAlex

Canadian writer Margaret Laurence’s novel The Fire-Dwellers has long been critically dismissed as too paltry and insignificant to warrant in-depth treatment. This paper attempts to identify the novel as a significant one in theme and technique incorporating traits of postmodernism and expresses the need for a deeper critical evaluation of the work. Through the novel, Laurence records the terrors of the 1960s counterculture, one of the most turbulent times in recent history. She portrays the struggle of the individual to cope with the fires of an increasingly violent and insane dystopic world which fragments the self. Laurence, in the novel, develops an innovative narrative technique to recreate the protagonist’s fractured consciousness in the fragmented cultural context.

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)0.003
metaresearch head score (Gemma)0.006
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: Other · Consensus signal: Other
Teacher disagreement score0.756
Threshold uncertainty score0.491

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0370.040
Scholarly communication0.0110.004
Open science0.0040.004
Research integrity0.0050.011
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 head0.020
GPT teacher head0.256
Teacher spread0.235 · 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
GenreOther

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
Published2016
Admission routes2
Has abstractyes

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