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Record W2737709331 · doi:10.5817/cejcs2012-8-7

Neil Bissoondath's imaginary homeland : the search for possible places and space in A Casual Brutality

2012· article· en· W2737709331 on OpenAlexaffabout
Judit Molnár

Bibliographic record

VenueThe Central European journal of Canadian studies · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicContemporary Literature and Criticism
Canadian institutionsCanadian Journal of Administrative SciencesCanadian Journal of Communication (Canada)
Fundersnot available
KeywordsThe ImaginaryHomelandCasualPolice brutalitySpace (punctuation)SociologyEpistemologyMedia studiesPolitical sciencePhilosophyCriminologyPsychologyLawPsychoanalysisPoliticsLinguistics

Abstract

fetched live from OpenAlex

Neil Bisssoondath's novel A Casual Brutality (1988), later translated into French as Retour à Casaquemada (1992), focuses on a return journey to an imaginary homeland. My aim is to show how the main character tries to define his transformed identity on an island through his relationship with the places and the space that he used to know but lost contact with. Casaquemada means "a house burnt down"; it suggests that the narrator goes through a process in which his sense of belonging is seriously threatened. The article is a systematic analysis of the main protagonist's relationship to various locations: houses, rooms, landscapes, cityscapes. My intention is to demonstrate that the ambiguous relation between here (Canada) and there (an island in the Caribbean) results in a strong sense of unquestionable dislocation.

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 score0.752
Threshold uncertainty score0.492

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 studies0.0190.022
Scholarly communication0.0070.003
Open science0.0010.003
Research integrity0.0020.004
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 head0.070
GPT teacher head0.268
Teacher spread0.198 · 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
Published2012
Admission routes2
Has abstractyes

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