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Record W244142868

Randy Boyagoda. Governor of the Northern Province

2007· article· en· W244142868 on OpenAlexvenueaboutno aff
Nicholas Birns

Bibliographic record

VenueCanadian ethnic studies · 2007
Typearticle
Languageen
FieldArts and Humanities
TopicShort Stories in Global Literature
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsLawHistoryPolitical scienceMedia studiesSociology
DOInot available

Abstract

fetched live from OpenAlex

Randy Boyagoda. Governor of Northern Province. Toronto: Viking Canada, 2006. 208 pp. $32.00 sc. Randy Boyagoda's comic novel, which appeared on 2006 Giller Prize long-list, is an intelligent and timely satire. It is highly literary, filled with allusions and jokes about Faulkner, T. S. Eliot, L. E Hartley, Joseph Conrad, Robertson Davies, and John Buchan (in his capacity as Governor-General). It is also caustic and unsparing about both politics in abstract and specific political conditions in Canada today. For instance, Liberal Party is described as the PRI of north (131); this jab comparing Grits to once-hegemonic Mexican colossus is sharp, ),et not totally wide of mark. Boyagoda brings together a duo of unlikely connivers. One is Jennifer Ursula Thickson, a middle-class girl from rural Ontario who yearns for political possibilities (53) as an antidote to mediocrity and awkwardness her social milieu ascribes to her (she loses a contest for high school class president to None of Above). Another is Bokarie, a former politician from fictional African nation of Atwenty, whose political ambitions in his home country are thwarted by willingness of president to dispose of him in order to maintain his public image after Bokarie had attempted to cultivate him by committing atrocities in his name. Bokarie steals a Canadian passport, kills a man on shipboard--he is no innocent waif--and forges an identity as a refugee in a Canada willing to show refugees abstract pity. He stumbles onto Jennifer, who is already using causes to advance her cause, utilizing drowning of a young girl, Little Caitlin to mount a Think Pink campaign that takes Think Globally, Act Locally truisms and encases them in layers of cutesy schmaltz. Jennifer indulges in hypocrisy not unlike Mrs. Jellyby's faux African humanitarianism in Dickens' Bleak House. Paradoxically though, Jennifer tries to evade these castigations by insisting that she only espouses causes by which she has been personally touched--thus relevance of Little Caitlin, or of Bokarie himself, as a specific index of problems of African refugees. As Bokarie is a fraud, proponent and cause have been ideally matched, though Jennifer is, for most of book, unaware of Bokarie's true provenance. Boyagoda, who has written for The Walrus and other general-interest publications, studied religion and literature at Boston University and University of Notre Dame, and now teaches at Ryerson University in Toronto. Though some (not all) of his associations suggest rightward political leanings, satiric wrath vented in Governor of Northern Provinces is delightfully even-handed. Indeed, satire is not so much on political positions, but on bravado of people who try to reinvent themselves and credulity of those who accept these insincerities because they find them comforting. Bokarie, for instance, both in Africa and Canada, uses religion to buttress his moral credibility, renaming an African boy Jesse in order to impress his superiors with his fine scriptural elocution (119); elsewhere in narrative, he uses same skills to ingratiate himself with a born-again Canadian car dealer. …

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.601
Threshold uncertainty score0.985

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0040.001
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.3100.171

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 head0.064
GPT teacher head0.301
Teacher spread0.237 · 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.

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
Published2007
Admission routes2
Has abstractyes

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