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Record W2983799771 · doi:10.3138/gsi.13.1.03

Kurdish Linguicide in the “Saddamist” State

2019· article· en· W2983799771 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueGenocide Studies International · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicTurkey's Politics and Society
Canadian institutionsQueen's University
Fundersnot available
KeywordsGenocideState (computer science)Middle EastPolitical scienceMonarchyLawPolitics

Abstract

fetched live from OpenAlex

Scholarly literature highlights the systematic actions taken in the modern Middle East to destroy the Kurdish language. With a primary focus on Turkey, scholars have described this process as a policy of linguicide, or language genocide, which is “the extermination of languages, an analogous concept to (physical) genocide.” 2 In contrast, similar processes at work in southern Kurdistan (Kurdistan of northern Iraq) have often been described as “linguistic suppression.” 3 This paper argues that linguistic suppression does not adequately describe the Iraqi Kurds’ experiences. Rather, linguicide better captures the practices of cultural genocide that have targeted this group. This paper focuses on how the Kurds in modern-day Iraq were subjected to linguicide under the Language Education Policy (LEP) from 1932 to 1991. This policy was established during the monarchy (1921–1958), and advanced through the time of Saddam Hussein’s regime (1979–1991). 4 While much scholarly work has associated the process of linguicide with the birth of a nation-state, 5 this article further argues that linguicide in the Iraqi Kurdish case predates the formation of the Iraqi nation-state.

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.

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 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 score0.673
Threshold uncertainty score0.269

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.034
GPT teacher head0.401
Teacher spread0.367 · 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