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Record W4406522641 · doi:10.1086/733367

Agriculture of the Uprooted: The Assyrian Settlement on the Khabur and the Agrarian Solution to Refugees

2025· article· en· W4406522641 on OpenAlexaboutno aff
Samuel Dolbee

Bibliographic record

VenueEnvironmental History · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Geopolitics and Ethnography
Canadian institutionsnot available
Fundersnot available
KeywordsAgrarian societyRefugeeSettlement (finance)AgricultureGeographyAgroforestryBusinessArchaeologyEnvironmental science

Abstract

fetched live from OpenAlex

This article traces how the League of Nations responded to Assyrian refugees fleeing Iraq in the 1930s, and periodizes the concept of propertied agriculture as a solution to late-nineteenth and early twentieth century displacement. The League considered agricultural settlement of Assyrians in places as varied as Brazil, British Guiana, and Syria, and, less seriously, Australia, British Honduras, Canada, Cyprus, Cyrenaica, Ecuador, Eritrea, Fiji, Lebanon, North Borneo, Palestine, South Africa, Southern Rhodesia, and Tanganyika. Throughout these discussions, agriculture functioned to justify potential settlements or malign Assyrian refugees. In the end, the Assyrians remained on sites near the Khabur River in northeastern Syria that were intended to be only provisional. In the process, the Assyrians defied discursive presentations of themselves as seeds to be planted, and instead articulated shrewd critiques of the developmental endeavor, openly rebelling against the work of agriculture itself in an arid landscape from which they had hoped to leave.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0150.014
Scholarly communication0.0040.002
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.006
GPT teacher head0.213
Teacher spread0.207 · 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 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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