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Record W7083196257 · doi:10.1215/00104124-11794095

Freud and the Non-European

2025· article· en· W7083196257 on OpenAlexaff

Bibliographic record

VenueComparative Literature · 2025
Typearticle
Languageen
FieldMedicine
TopicOcular Infections and Treatments
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsColonialismIdeologyAmbivalenceNationalismJudaismContext (archaeology)The HolocaustModernity

Abstract

fetched live from OpenAlex

Abstract This essay examines Edward Said’s final lecture, published in the book Freud and the Non-European, within the broader historical and cultural context of the Palestinian Nakba and its aftermath, including the case of Ayn Hawd, a Palestinian village transformed into an Israeli artists’ colony after its ethnic cleansing in 1948. Said’s lecture, framed by Freud’s ambivalence toward Jewish nationalism in Moses and Monotheism, reflects on Zionism’s systematic erasure of Palestinian land, memory, and culture. It highlights Freud’s challenge to homogeneous identity formation by tracing Jewish origins to non-Jewish antecedents, a complexity obliterated by the Israeli colonial project. However, Said’s constrained discourse, shaped by the lecture’s venue and audience, contrasts with his earlier works that foreground Palestinian cultural richness and resistance. Through Freud’s critique of sublimation and the limits of enlightenment, Said critiques the ideological underpinnings of settler colonialism and its cultural annihilation. The discussion also explores Mahmoud Darwish’s insights on the cultural dimensions of Zionist violence and the enduring struggle for Palestinian self-representation. Ultimately, the essay questions the potential for cultural resistance and aesthetic symbolization in a context where art and theory have been co-opted by colonial power, as epitomized by the transformation of Ayn Hawd into a site of erasure and appropriation.

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: none
Teacher disagreement score0.009
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0070.025
Scholarly communication0.0090.005
Open science0.0010.005
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0050.001

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 head0.008
GPT teacher head0.299
Teacher spread0.291 · 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
Published2025
Admission routes1
Has abstractyes

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