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Record W4245045080 · doi:10.3138/utq.81.2.279

On Judging with Care and the Responsibility of an Heir: Reading Eden Robinson’s <i>Monkey Beach</i>

2012· article· en· W4245045080 on OpenAlexvenueno aff
Lydia Efthymia Roupakia

Bibliographic record

VenueUniversity of Toronto Quarterly · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsHybridityPostmodernismReading (process)SociologyAestheticsSituatedEconomic JusticeResistance (ecology)EpistemologyLinguisticsAnthropologyPhilosophyLawEcologyPolitical science

Abstract

fetched live from OpenAlex

How easy is it for Western readers of contemporary Native literature to suspend their goal-oriented consciousness when approaching Native ‘otherness’? Existing critical interpretations of Eden Robinson’s novel Monkey Beach attest to the ways in which cultural difference elicits politicized reading practices and romanticizing hermeneutical gestures. Yet Monkey Beach alerts the attentive reader against the pitfalls of approaching difference through inherited interpretative templates. Eden Robinson refuses to enlist her protagonist as a player in the politicized ‘games’ of cultural authenticity, postcolonial resistance, or cultural hybridity. Rather, the novel invites the reader to reflect on the complexities of ‘judging with care,’ a term Selma Sevenhuijsen uses to describe a situated form of postmodern feminist ethics in her study Citizenship and the Ethics of Care. More precisely, Monkey Beach asks the reader to do justice to the novel’s formal elaboration of responsible judgement as a process that involves both ‘an active engagement’ with the other and ‘a letting-go’ in the face of ‘Otherness’ (Attridge 130).

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)0.003
metaresearch head score (Gemma)0.006
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 score0.970
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0100.038
Scholarly communication0.0080.007
Open science0.0010.003
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0030.000

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 head0.007
GPT teacher head0.237
Teacher spread0.230 · 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 routes1
Has abstractyes

Explore more

Same venueUniversity of Toronto Quarterly→Same topicIndigenous Health, Education, and Rights→French-language works237,207→