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Record W2794139955 · doi:10.1111/anti.12388

Material Footprints: The Struggle for Borders by Bedouin‐Palestinians in Israel

2018· article· en· W2794139955 on OpenAlexfundno aff
Sharri Plonski

Bibliographic record

VenueAntipode · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicJewish and Middle Eastern Studies
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaBritish Society for Middle Eastern StudiesCouncil for British Research in the Levant
KeywordsIndigenousResistance (ecology)State (computer science)Power (physics)PoliticsRelevance (law)Assemblage (archaeology)SociologyReading (process)HistoryEthnologyPolitical scienceArchaeologyLaw

Abstract

fetched live from OpenAlex

Abstract In the following article, borders become an epistemology for reading the social and political history of settler geographies, and their particular manifestation in the southern Naqab region of Israel. It takes as its starting point the idea that borders are activated in an assemblage of encounters; and that they act as markers, not only of the power of the settler state to rupture and control indigenous life and mobility, but of the multiple resistances that divert, disrupt and unsettle settler movements and spaces. Based on more than three years of fieldwork with the Unrecognised Bedouin‐Palestinian communities of the Naqab, the article investigates the significance of borders in spaces the state has conceived and structured as empty and dead. In exploring the multiple modes of resistance and resilience that constitute Bedouin struggles for recognition in Israel, it finds relevance in the lines they carve out, and the living spaces that persist and evolve in their shadows.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.825
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.026
GPT teacher head0.328
Teacher spread0.303 · 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 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

Citations9
Published2018
Admission routes1
Has abstractyes

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