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Record W2620098745 · doi:10.5539/ells.v7n2p65

The Experience of Alienation in Toni Morrison’s Work: Man’s Fragmentation and Concomitant Distortion

2017· article· en· W2620098745 on OpenAlexvenueno aff
Mahameed Mohammed, Majed Abdul Karim

Bibliographic record

VenueEnglish Language and Literature Studies · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicUrban, Neighborhood, and Segregation Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAlienationTheme (computing)AestheticsPower (physics)SociologyState (computer science)PsychoanalysisGender studiesHistoryPsychologyArtPolitical scienceLaw

Abstract

fetched live from OpenAlex

The question of alienation has always been a pervasive theme in the history of modern thought, and it occupies a considerable place in contemporary work. Literature in general, and fiction in particular, raise this issue to reveal its influence on human beings and communities. Novelists have been trying to unravel its complexities and concomitant consequences. The paper aims to explore the experience of alienation through depicting the issue not as a purely racial reality, or something restricted to the colour of the skin or gender of the victim. It is rather presented as a distressing state which cripples the victims and makes them susceptible captives of the dominant forces. In the selected novels, Toni Morrison has delved deep into the experience of alienation through her male and female characters, showing the different forms of this experience. The present research investigates Morrison’s portrayal of the issue from an African-American prospect. References will be made to novels such as Tar Baby, Sula, The Bluest Eye, Song of Solomon, and Beloved.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.045
Threshold uncertainty score0.904

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.018
GPT teacher head0.336
Teacher spread0.318 · 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 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
Published2017
Admission routes1
Has abstractyes

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