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Record W4399212299 · doi:10.15173/glj.v15i2.5866

“No Foreign Workers, No Agriculture, No Region”: Thai Farmworkers in Israel in the Wake of War

2024· article· en· W4399212299 on OpenAlexvenueno aff
Matan Kaminer

Bibliographic record

VenueGlobal Labour Journal · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsnot available
Fundersnot available
KeywordsWakeAgriculturePolitical scienceGeographyArchaeologyEngineering

Abstract

fetched live from OpenAlex

There is perhaps no more paradigmatically settler-colonial activity than agriculture, especially in the Palestinian/Israeli context. Zionist strategists perceived the takeover of farmland from indigenous cultivators as a primary goal of their colonising project, pursuing it eagerly through purchase until the war of 1948, and primarily through violence since then. More than an economic sector, agriculture has served a strategic role in consolidating control over broad stretches of frontier, as well as the ideological purpose of emblematising the Jewish people’s return to its land (Shafir, 1989; Neumann, 2011). However, pace the emergent orthodoxy in settler-colonial studies – which has recently been subjected to strident critiques, not least in the Palestinian/Israeli context – Israeli agriculture has not, for the most part, been characterised by an “eliminationist” attitude towards indigenous labour or by a serious commitment to exclusively employing the labour of settlers.[1] In fact, Israeli agriculture, like other low-wage sectors of the economy, has nearly always depended on Palestinian labour. When the First Intifada of 1987 to 1991 convinced Israeli policymakers that this dependency was dangerous, their response was to replace it not with the more expensive labour of Israeli citizens, but with the similarly cheap and skilled labour of migrant workers. The farm sector would quickly come to recruit the bulk of its workforce from Thailand, while continuing to employ thousands of Palestinians.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.418
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.016
GPT teacher head0.274
Teacher spread0.259 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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