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Record W2917416776

Crime, Violence and Identity Conflicts in Karen Campbell’s Shadowplay (2010) and Ahmed Mourad’s The Blue Elephant (2012): (Re) defining the Self and the Other

2018· article· en· W2917416776 on OpenAlexvenueno aff
Jihan Zakarriya

Bibliographic record

VenuePostcolonial text · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicScottish History and National Identity
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsReferendumDevolution (biology)Independence (probability theory)AutocracyColonialismIdentity (music)National identityEmpireGender studiesSociologyPolitical scienceHistoryLawPolitical economyArtAnthropologyAestheticsDemocracy
DOInot available

Abstract

fetched live from OpenAlex

Although the colonial experience and the socio-economic and political conditions in 21st-century Scotland and Egypt are different, there is a shared concern with a radical political-cultural change in the two countries. For example, while Scotland seeks devolution in 1997 and takes a referendum for independence from the British Empire in 2014, Egypt witnessed successive waves of revolutions (2010-2014) to end autocratic political and religious regimes. This paper focuses on the concepts of the self and the other as political-colonial constructs in the Scottish novelist Karen Campbell’s Shadowplay (2010) and the Egyptian novelist Ahmed Mourad’s The Blue Elephant (2012). It argues that the selected novels articulate a particular awareness of the political-national conflicts in contemporary Scotland and Egypt, with the aim both to commemorate individual freedom and to figure out new notions of identity and authority.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.033
Threshold uncertainty score0.067

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.033
Scholarly communication0.0090.003
Open science0.0010.004
Research integrity0.0020.003
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 head0.020
GPT teacher head0.255
Teacher spread0.235 · 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
Published2018
Admission routes1
Has abstractyes

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