A Look at the Yezidi Journey to Self-discovery and Ethnic Identity
Bibliographic record
Abstract
Yezidi communities throughout the world are struggling with their collective identity; each at a varying and somewhat differing stage of self-discovery. While the present paper does seek to elaborate upon this journey for the Yezidis in Transcaucasia, Germany, Canada, and the USA, its main focus remains the analysis of the political developments in the Yezidi heartland of Northern Iraq. This is so that the reader may have a fuller picture of the catalysts spurring this Yezidi reimagining. On the one hand, you have the traditional Yezidi leadership caught within a complex series of client-patron relationships with Kurdish leaders: ethnic identification is leveraged for promises of influence and power. While, on the other hand, newly minted Yezidi military commanders, as well as grassroot figures and Yezidi NGOs, are trying to establish themselves as heads of a Yezidi community that is undeniably distinct from their Kurdish neighbours. This paper will further show that the withdrawal of the Kurdish Peshmerga in the face of the ISIS attack in 2014, the half-hearted responses of the regional Kurdish and Federal Iraqi governments, all coupled with the stalled return of Yezidi refugees contributed to a growing Yezidi movement to cement their identity, as well as satiate a growing urgency to define themselves as a distinct ethnoreligious entity.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".