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Record W3107544042 · doi:10.5209/cjes.61111

Self Writing and World Mapping in Tim Bowling’s 'Downriver Drift' (2000) and 'The Paperboy’s Winter' (2003)

2020· article· en· W3107544042 on OpenAlexaboutno aff
Leonor María Martínez Serrano

Bibliographic record

VenueComplutense Journal of English Studies · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicEcocriticism and Environmental Literature
Canadian institutionsnot available
Fundersnot available
KeywordsPoetryLiteratureNarrativeMode (computer interface)HistoryNatural (archaeology)Audience measurementPower (physics)ArtComputer sciencePolitical scienceLawArchaeologyPhysics

Abstract

fetched live from OpenAlex

Widely acclaimed as one of the best living Canadian authors, Tim Bowling has cultivated several literary genres with great talent and verbal craftsmanship. He has published twelve poetry collections to date, two works of creative non-fiction, and five novels, including Downriver Drift (2000), The Paperboy’s Winter (2003), The Bone Sharps (2007), The Tinsmith (2012) and The Heavy Bear (2017). This article explores the epistemological power of Bowling’s fiction as a mode of knowing the self and the nonhuman environment. More specifically, bearing in mind fundamental ecocritical tenets, it analyses how his two earliest novels, Downriver Drift and The Paperboy’s Winter, evoke notions of dwelling and a compelling sense of place, as the natural environment in them is much more than mere backdrop to the narratives unfolding in their respective plots. Written in elegantly wrought language rich in poetic resonance, Bowling’s novels remind their readership that fiction is a powerful tool to investigate the human condition and our surrounding world, where the human and the nonhuman coexist on democratic terms.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.795
Threshold uncertainty score0.468

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 studies0.0000.000
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 head0.028
GPT teacher head0.213
Teacher spread0.185 · 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 designQualitative
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
Published2020
Admission routes1
Has abstractyes

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