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Record W2142954121 · doi:10.5539/ass.v9n2p305

Making Sense of the “Freedom Scapes” in Ben Okri’s In Arcadia

2013· article· en· W2142954121 on OpenAlexvenueno aff
Majed Aladaylah

Bibliographic record

VenueAsian Social Science · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicPostcolonial and Cultural Literary Studies
Canadian institutionsnot available
Fundersnot available
KeywordsNarrativeArcadiaRepresentation (politics)AestheticsPostmodernismDilemmaLiteratureArtPhilosophyEpistemology

Abstract

fetched live from OpenAlex

There is no doubt that one of the unresolved contradictions of representation in postcolonial fiction is that of the relation between the colonizer and the colonized. This issue generates a wide spectrum of critical hues, exploring how present circumstances shape a postcolonial narrative technique. The present paper explores Ben Okri’s In Arcadia (2002), attempts to display this innovative disturbing representation by investigating the narrative experimentation in the novel of Ben Okri. Okri’s novel reflects the dilemma of individual freedom and libration, and the contemporary situation of fragmentation, rootlessness, dehumanization, displacement, and disorientation in a world where man finds himself suspended in a void of meanings. Okri’s response to this dilemma is given by those scapes which become the new responsible creators of their own world by shaping fresh values, lives, and realities, which is reflected in the reshaping of the narrative mode of a postcolonial and postmodern Nigerian novelist, tempered with the narrative form and its representation of the experience of reality. His fiction has subverted the narrative modes of representation thereby dislocating the structure of narrative technique through the juxtaposition of spatial fragments from different situations. Thus, the hypothesis was that it would be valuable to analyze and examine Okri’s narrative experimentation as a contemporary writer, in order to see the extent of innovative progression.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.917
Threshold uncertainty score0.595

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.028
GPT teacher head0.248
Teacher spread0.220 · 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 designObservational
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

Citations1
Published2013
Admission routes1
Has abstractyes

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