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Record W4417439582 · doi:10.1177/01937235251406580

Israeli Hasbara and the NBA's Palestine Exception: The Impossibility of Capitalist “Social Justice”

2025· article· en· W4417439582 on OpenAlexaff
Chen Chen, Anthony J. Weems, Rebecca Rochon, Daniel Sailofsky

Bibliographic record

VenueJournal of Sport and Social Issues · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicJewish and Middle Eastern Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSolidarityCONTESTSanctionsComplicityLeagueState (computer science)ImpossibilityPalestineNationalityDiplomacy

Abstract

fetched live from OpenAlex

Sport is a notable site for the Israeli state in its hasbara (public diplomacy, or “explaining”) effort that seeks to normalize the conditions of ethnic cleansing, illegal settlement, and apartheid practices in historic and occupied Palestine. Against the backdrop of the genocide in Gaza and the lack of international sport sanctions against Israeli teams, this paper maps several hasbara activities/attempts featuring the National Basketball Association (NBA) in the last decade. This is a worthwhile case, not least because of the NBA's self-branding as a socially “progressive” league composed of a primarily Black/African American athletic workforce. Two major observations are made: First, the apparent contradiction between the NBA's “social justice” façade and its collaboration with Israel dissolves if the NBA—not exceptional amongst other corporate sport entities—is properly understood as a node of the capitalist-imperialist world system; Second, the historical and contemporary formations of Black-Palestinian transnational solidarity remains a potent tool to contest sport hasbara.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.281
Threshold uncertainty score0.955

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
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 head0.022
GPT teacher head0.330
Teacher spread0.309 · 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 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

Citations0
Published2025
Admission routes1
Has abstractyes

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