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Record W1896507665

From Hell or From Nowhere? Non-places in Douglas Coupland’s Novels

2015· article· en· W1896507665 on OpenAlexaboutno aff
Bent Sørensen

Bibliographic record

VenueVBN Forskningsportal (Aalborg Universitet) · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicContemporary Literature and Criticism
Canadian institutionsnot available
Fundersnot available
KeywordsHistoryArt
DOInot available

Abstract

fetched live from OpenAlex

Douglas Coupland is nominally a Canadian author, though he was born overseas on a NATO base in what was then West Germany. He has also subsequently spent considerable time in countries other than the one he is a citizen of, including the US, Japan and various European locations. <br/>In Coupland’s first novel Generation X, the narrator casually observes, speaking of the dating patterns and friendships of the three youthful protagonists, that nowadays everyone and everything seems to be either from nowhere or from Hell. The narrator invites the reader to muse on whether these two points of origin are really that different from one another…<br/>In my paper I examine the literary topography of Coupland’s story worlds in Generation X and more recent novels. The tension between presence and absence in this topography is palpable, and several Coupland plots involve characters trying to cope with living in a world consisting nearly entirely of non-places. In such a ‘Life After God’ (the title of a short story collection by Douglas Coupland) strategies for replenishment of meaning and belonging can be hard to come by – yet every Coupland story offers up hope for such strategies succeeding. Does this make Coupland a post-ironic, or post-cynical writer? And what role does place play in bolstering the hope of the characters?

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.660
Threshold uncertainty score1.000

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.040
GPT teacher head0.220
Teacher spread0.180 · 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.

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

Citations1
Published2015
Admission routes1
Has abstractyes

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