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Record W2943183187 · doi:10.5539/mas.v13n5p140

Clash of Cultures and Resistance in Selected African Plays

2019· article· en· W2943183187 on OpenAlexvenueno aff
Wafa Yousef Alkhatib

Bibliographic record

VenueModern Applied Science · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican history and culture studies
Canadian institutionsnot available
Fundersnot available
KeywordsResistance (ecology)ColonialismKenyaDramaAfrican cultureGender studiesHistory of AfricaPolitical scienceHistorySociologyLiteratureAncient historyLawArtBiologyEcology

Abstract

fetched live from OpenAlex

Protest African drama that appeared in Kenya and other African countries was due to the bad conditions that Africans lived during the period of colonization. This paper uses the post-colonial theory to explore how resistance in all of its armed and unarmed forms succeeded in awakening the African continent after long years of marginalization. It also tackles the clash of cultures which represents another kind of resistance, dealing with clash of cultures between the European and the African. Moreover, it will focus on the colonial discourse the colonizer relied on to assert the inability of Africans to express themselves without this discourse which the Europeans (colonial powers) invented and deliberately used to establish and deepen their domination over the black continent even after their departure. For this purpose, the researcher will analyze two different plays written by the Kenyan playwright Ngugi Wa Thiongo, The Black Hermit and The Trial of Dedan Kimathi. The clash of two cultures will be studied in The Black Hermit, while resistance and armed resistance will be examined in The Trial of Dedan Kimathi.

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)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0110.013
Scholarly communication0.0050.002
Open science0.0010.004
Research integrity0.0010.002
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 head0.010
GPT teacher head0.249
Teacher spread0.239 · 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 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
Published2019
Admission routes1
Has abstractyes

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