MétaCan
Menu
Back to cohort
Record W2230733156 · doi:10.1080/17449057.2015.1089050

Deciphering ‘Sons of the Soil’ Conflicts: A Critical Survey of the Literature

2015· article· en· W2230733156 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.

Bibliographic record

VenueEthnopolitics · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsSaint Paul UniversityMemorial University of Newfoundland
Fundersnot available
KeywordsChinaPoliticsEthnic conflictPolitical scienceConflict resolution researchEthnic groupPolitical economySociologyConflict resolutionGeographyCriminologyLaw

Abstract

fetched live from OpenAlex

Migration has always been a long-standing feature of political life throughout the world. In some cases, however, the arrival of large numbers of migrants has produced violent clashes between ethnically distinct ‘native’ or ‘local’ populations and migrants. These conflicts are commonly referred to as ‘Sons of the Soil’ (SoS) conflicts. Notwithstanding the growing interest in this form of conflict, a number of questions remain: What are the main features and dynamics of SoS conflicts? How do SoS conflicts differ from other types of conflicts (e.g. ethnic conflict, civil war)? What are the mechanisms linking migration to conflict, and how might these vary across space and time? By examining a wide range of methodological research on SoS conflicts in a plurality of regions (e.g. Africa, China, Europe, India, Russia, Southeast Asia), the article provides a comprehensive analysis on SoS conflicts and generates new conceptual and theoretical perspectives for deciphering the complex dynamics surrounding these conflicts.

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)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.622
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.083
GPT teacher head0.378
Teacher spread0.295 · 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