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Record W4361285129 · doi:10.1177/00207020231166576

Occupied by non-violence: Exploring male Palestinian resistance activists’ use of strategic silences in (re)narrating the Palestinian struggle

2022· article· en· W4361285129 on OpenAlexafffund
Emma Swan

Bibliographic record

VenueInternational Journal Canada s Journal of Global Policy Analysis · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicPeacebuilding and International Security
Canadian institutionsUniversity of Victoria
FundersSocial Sciences and Humanities Research Council of CanadaInternational Development Research CentrePierre Elliott Trudeau Foundation
KeywordsPeacebuildingResistance (ecology)NarrativeAgency (philosophy)SociologyIndigenousGender studiesOrientalismColonialismSilenceEthnographyPolitical sciencePolitical economyLawAestheticsSocial scienceAnthropology

Abstract

fetched live from OpenAlex

Liberal peacebuilding has had its fair share of critiques. Along with highlighting its neo-liberal and Western-centric foundations, scholars have also drawn attention to its disregard for Indigenous peace frameworks. Peacebuilding in Palestine is no exception. Based on ethnographic research in the West Bank, this paper examines Orientalist narratives of Palestinian men embedded within the liberal peacebuilding framework and highlights the way that men engaged in unarmed resistance have navigated this terrain through the adoption of public transcripts which (re)narrate the Palestinian story/experience. I argue that this adoption can be interpreted as an act of critical agency where the silencing of their own beliefs is turned on its head to empower and further their agenda and goals. In this way, representation, knowledge, and silence can be understood as not only tools of colonial control, but also tools for Indigenous resistance to Western discourses, narratives, and representations.

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)0.005
metaresearch head score (Gemma)0.010
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0120.017
Scholarly communication0.0090.005
Open science0.0020.006
Research integrity0.0020.005
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 head0.071
GPT teacher head0.341
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
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
Published2022
Admission routes2
Has abstractyes

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Same venueInternational Journal Canada s Journal of Global Policy AnalysisSame topicPeacebuilding and International SecurityFrench-language works237,207