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Record W4414306059 · doi:10.52713/ye2f7233

Phenomenologies of Silence: On the Palestine Exception and the Complicity of Social Work Academe

2025· article· en· W4414306059 on OpenAlexaffabout
Nuha Dwaikat-Shaer, Amilah Baksh, Siham Elkassem, Bryn King

Bibliographic record

VenueAbolitionist Perspectives in Social Work · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicJewish and Middle Eastern Studies
Canadian institutionsUniversity of TorontoUniversity of WindsorWilfrid Laurier University
Fundersnot available
KeywordsComplicitySilenceWitnessGenocideContext (archaeology)SoulSocial workPalestine

Abstract

fetched live from OpenAlex

In this submission, four social work academics explore the silence on genocide in Palestine. Through collaborative autoethnography, we document our experiences of being silenced in the academic context of existent silences within faculties of social work in Canada. Over several conversations, we came together to engage in intentional community and solidarity. This space became an embodiment of sumud, wherein we resist by breathing life into our stories, bearing witness to one another in our full humanity. Employing an analysis informed by anti-colonial and critical race theories, we locate our experiences in broader structures of anti-Palestinian, anti-Arab, and anti-Muslim racism. Attending to phenomenologies of the Palestine exception, we offer counterstories to combat this silencing. We engage themes of guilt and resistance, and explore inner realities of soul and spirit which are crushed by this violence. The disorienting silence of social work in the academy reflects its complicity. Palestine is treated as an abstract, and Palestinians as an abstraction—removed in literal and figurative ways from homeland, from conversations about social justice, and from reality. Silencing is erasure and is yet another step in the genocidal project. Through this submission, we extend our voices to the calls for a Free Palestine. We refuse to be silent, and we refuse to be silenced.

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 categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.664
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.005
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 head0.042
GPT teacher head0.333
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; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
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

Citations1
Published2025
Admission routes2
Has abstractyes

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