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Record W4416572329 · doi:10.1177/01605976251396538

“The Palestinian’s Will to Resist Still Remains:” An Interview with Dr. Muhannad Ayyash about His Book, <i>Lordship and Liberation in Palestine-Israel</i>

2025· article· en· W4416572329 on OpenAlexaff
Desmond Francis Goss, Mark Muhannad Ayyash, Alithia Zamantakis

Bibliographic record

VenueHumanity & Society · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicJewish and Middle Eastern Studies
Canadian institutionsMount Royal University
Fundersnot available
KeywordsOppressionCourageResistance (ecology)ColonialismPremiseRelevance (law)

Abstract

fetched live from OpenAlex

In his book, Lordship and Liberation in Palestine-Israel, Dr. Muhannad Ayyash theorizes structures of violence that lie at the root of the Palestinian struggle for liberation and Israeli settler colonialism. Dr. Ayyash’s aim is not to theorize for the sake of theory but to theorize and develop conceptual tools that are useful for scholars and scholar activists in understanding the relationship between people and land, land and life, oppression and resistance, and settler colonialism and decolonial sovereignties. This manuscript is an edited version of an interview between Dr. Muhannad Ayyash and Dr. Desmond Goss, in which they discuss the premise of the book, the significance and contradictions of the current ceasefire between Israel and the Palestinian resistance forces, the ongoing struggle for the liberation of Palestine, and the need for courage in a moment of multiple crises and heightened contradictions.

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)0.004
metaresearch head score (Gemma)0.004
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: Other · Consensus signal: none
Teacher disagreement score0.031
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0210.014
Scholarly communication0.0060.005
Open science0.0010.002
Research integrity0.0050.014
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 head0.041
GPT teacher head0.311
Teacher spread0.270 · 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
GenreOther

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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