Bibliographic record
Abstract
As a result of the expanding human mobilization in the today’s world due to wars, workforce markets, etc., the scope of migration and diaspora studies has increased in many areas. This is also true for musical studies, where a growing body of literature has been produced about these issues. However, by focusing mainly on settled communities and their musical productions, such as hybrid genres and forms created in the destination land, this literature does not adequately cover “transit migration”. Transit migration, being a particular type of human mobility, refers to the migration that includes at least three or more steps. This means that transit migrants do not permanently inhabit the land they firstly enter as migrants, but are supposed to stay in this transit country for a while and then continue their journey in order to reach a final destination point. In this article, I deal with this specific type of migration based on my intense field study on the Chaldean-Iraqi migrant community in Istanbul. The Chaldean community in Iraq, as a religious minority, is one of the most affected groups in the ongoing situation in Iraq, especially after the US invasion in 2003. Turkey functions as a transit country on their way to their prospective destination points, mainly including the US, Canada, and Australia. While dealing with the role of music during the indefinite time period that the participants are in the process of being temporary inhabitants in a foreign land, the applicability of the theoretical concepts of permanent migration to temporary migration is also discussed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.052 | 0.011 |
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 source (direct Gemma or distilled Codex), 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".