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Record W45790559

"May the unfixable broken bone/ ⦠give us new bearings": Ethics, Affect and Irresolution in Ingrid de Kok's A Room Full of Questions

2008· article· en· W45790559 on OpenAlexaffvenue
Susan Spearey

Bibliographic record

VenuePostcolonial text · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicSouth African History and Culture
Canadian institutionsBrock University
Fundersnot available
KeywordsNarrativeRevelationPoetryRhetoricAestheticsTransparency (behavior)SociologyLiteratureCommissionPhilosophyEpistemologyLawArtPolitical scienceLinguistics
DOInot available

Abstract

fetched live from OpenAlex

This article makes the case, by way of readings of Ingrid de Kok's A room full of questions, a sequence of 12 poems that respond to South Africa's Truth and Reconciliation hearings, that it is particularly important in the wake of the critical industry generated by the TRC process to return to artistic engagements with the process. De Kok's poems strikingly resist three familiar tropes which inform much of the rhetoric surrounding the TRC and the liberal media's celebration of the rainbow nation, and which underpin even some of the most sophisticated critical engagements with the Commission's work: epistemological tropes of revelation and transparency, organicist tropes of healing and recovery, and economic tropes of account-settling. In refusing to concede to the logics of any of these tropes, the poems confront readers very directly with our own desires for, expectations of, and investments in projects indexed towards achieving understanding, healing, and reconciliation, our own assumptions about the role of language and narrative as vehicles of social transformation. Because the poems do not fulfill any of the expectations or grant any of the consolations offered by these tropes, and in fact stage breakdowns in the processes upon which they are predicated, readers are invited into the space of ethical encounter and encouraged to consider how other paths towards transformation might begin to be carved out.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.791
Threshold uncertainty score0.979

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.031
GPT teacher head0.301
Teacher spread0.270 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2008
Admission routes2
Has abstractyes

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