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Record W6986236483

The outer harbour: stories

2014· book· en· W6986236483 on OpenAlexaboutno aff

Bibliographic record

VenueArca (British Columbia Electronic Library Network) · 2014
Typebook
Languageen
FieldArts and Humanities
TopicShort Stories in Global Literature
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousMerge (version control)EstateNarrativeRacismIdentity (music)
DOInot available

Abstract

fetched live from OpenAlex

City of Vancouver Book Award Winner. "In his debut story collection, poet Wayde Compton explores the concept of place and identity in which characters and space merge to make narrative. These interconnected stories, imbued with the colour of speculative fiction, are towering in their conceits. As much as characters are revealed by what they do and say, in The Outer Harbour, places also speak, in the way that they shape us.\n\nOne strand of stories follows the relationship between an artist obsessed with shipping containers and a drug-addicted student, each of mixed-race, who seek in art a response to unclear identities. Another set of stories follows the geological development of a volcanic island in Burrard Inlet--Vancouver's harbour--which becomes the site of a radical Indigenous occupation, and later, in increasingly absurd shadings, a real estate development, and then a detention centre for illegal migrants. And a final suite tells the story of Donald and Albert, biracial conjoined twins, and their father, an eccentric figure whose enigmatic expression divides them.\n\nMoving from 2001 through to 2025, The Outer Harbour is at once a history book and a cautionary tale of the future. Collectively, these stories condense and confound our preconceived ideas around race, migration, and home, creating a singular world in a city built on the legacies of racism and colonialism, hurtling towards a future both impossible and inevitable." --From publisher description.

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)0.003
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.479
Threshold uncertainty score0.952

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0380.005
Scholarly communication0.0160.003
Open science0.0020.008
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0400.009

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 head0.004
GPT teacher head0.162
Teacher spread0.158 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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