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Record W1498263430

Three Children's Critical Perspectives on Aspects of the Contemporary East African Social 'Web of Relationships': Uwem Akpan's Say You're One of Them

2010· article· en· W1498263430 on OpenAlexvenueno aff
Adrian Knapp

Bibliographic record

VenuePostcolonial text · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicPostcolonial and Cultural Literary Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBedroomRelevance (law)Perspective (graphical)RestructuringSociologyGender studiesHistoryPolitical scienceLawArt
DOInot available

Abstract

fetched live from OpenAlex

This paper will take Hannah Arendt's concept of subjective in-between outlined in The Human Condition (1958) as a starting point for an analysis of the social disruption experienced by children in the three short stories of Uwem Akpan's Say You're One of Them (2008) that are located in the wider East African region – An Ex-mas Feast (Kenya), Language Is That? (Ethiopia) and My Parent's Bedroom (Rwanda). This analysis of Akpan's short stories will concentrate on how forms of intra/inter-family and inter/intra-cultural communicative exchange are affected by the violent restructuring of the social web of relationships (Arendt, Human Condition 183) emphasising the stories' potential in laying the foundation for a new 'subjective in-between'. The second part of the proposed paper will concentrate on the East African regional setting of the stories and scrutinise its relevance from an international perspective. How does the West feature in these stories of social break down? What options of social regeneration and reconciliation do the stories outline for today's youth and tomorrow's leaders?

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)0.004
metaresearch head score (Gemma)0.007
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: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0260.031
Scholarly communication0.0110.009
Open science0.0020.009
Research integrity0.0040.008
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 head0.055
GPT teacher head0.248
Teacher spread0.193 · 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

Citations7
Published2010
Admission routes1
Has abstractyes

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