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Record W2755581142 · doi:10.3968/9807

Probing Ghassan Kanafani’s Committed Fiction: A Study of Two Novellas

2017· article· en· W2755581142 on OpenAlexvenueno aff
Lana Waleed, Fatima Muhaidat

Bibliographic record

VenueCanadian social science · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicJewish and Middle Eastern Studies
Canadian institutionsnot available
Fundersnot available
KeywordsNovellaFeelingHomelandShameHappinessDenialSadnessSociologyPsychoanalysisAestheticsCriminologyHistoryGender studiesPsychologyPolitical scienceLawLiteratureSocial psychologyPoliticsPhilosophyArt

Abstract

fetched live from OpenAlex

Ghassan Kanafani’s commitment to the Palestinian cause is evident in his various works which handle the predicament of an exiled nation. This paper explores the exodus and its influence upon Palestinians in two of his novellas, All That’s Left to You (1966) and Returning to Haifa (1969). These novellas reflect the fragile position and fractured existence of two Palestinian families experiencing the tragic circumstances of the exodus and its consequences. Leaving homeland under life threatening conditions in the hope of finding peace only leads to a life of misery and uncertainty in refugee camps. Being silenced and marginalized, the exiled are further overwhelmed by feelings of shame and guilt. Loss of land, houses, and family members entails loss of happiness, peace and honor. Tormented by such negative feelings, their losses and their poor living conditions, Kanafani’s characters live in an unhealthy family atmosphere endangering their normal course of life, and rendering them emotionally disturbed. They find themselves disoriented, lonely, haunted by traumatic memories, and at a loss for words.  In fact, the exodus results in distorted sense of identity, disruptions of their family bonds as well as their normal connections to time, space and culture. Neither time nor the boundless horizon seems to bring hope or change for the better. Siding with the oppressed, dispossessed and displaced and speaking for them reflect Knafani’s love of justice, devotion, and care for the underprivileged.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.494
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0090.002
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.057
GPT teacher head0.334
Teacher spread0.278 · 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.

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

Citations2
Published2017
Admission routes1
Has abstractyes

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