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Record W1564647183 · doi:10.32396/usurj.v1i1.54

Reading and Resisting Representations of Black Africans in Joseph Conrad’s Heart of Darkness

2014· article· en· W1564647183 on OpenAlexaffvenue
Victoria Cowan

Bibliographic record

VenueUSURJ University of Saskatchewan Undergraduate Research Journal · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicJoseph Conrad and Literature
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsColonialismReading (process)HumanityNovellaDehumanizationContext (archaeology)LiteratureSociologyGender studiesAestheticsHistoryPhilosophyArtAnthropologyLinguistics

Abstract

fetched live from OpenAlex

This article adapts feminist critic Judith Fetterley’s articulation of resistant reading to the colonial context in order to perform a racially ethical reading of Joseph Conrad’s Heart of Darkness. Adapting a feminist practice of resistant reading to the colonial context is possible because of the ways in which the structures of patriarchal and colonialist discourses are homologous. This article approaches Conrad’s text as a piece of colonialist discourse by tracing the ways in the Congolese people are represented as wild, dark, animalistic, and incomplete. Employing this methodology is useful, indeed arguably essential, for reading Conrad’s representations of black Africans in his novella because doing so hinders the perpetuation of a debilitating, dehumanizing discourse “in which the very humanity of black people is called into question” (Achebe 346).

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)0.003
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 score0.031
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0190.026
Scholarly communication0.0060.004
Open science0.0010.004
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0020.000

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 head0.036
GPT teacher head0.274
Teacher spread0.238 · 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
Published2014
Admission routes2
Has abstractyes

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Same venueUSURJ University of Saskatchewan Undergraduate Research JournalSame topicJoseph Conrad and LiteratureFrench-language works237,207