The Research Memoir of an Intra-EU Migrant Who Has Become a Guest in a Settler Colonial State
Bibliographic record
Abstract
Abstract I started my graduate studies, outside my own country of origin (Greece), in 1990 at a time when the whole of Europe was experiencing a reconnection; a new sense of freedom, a novel enthusiasm, a set of landslide social, economic and political changes, similar to a quiet revolution. Migration has been a very important part of this post-1989 ‘revolution’ in Europe. And it has swept me and my post-doctoral studies into it, moving my career compass from the study of minority parties to migration and integration research. This chapter offers a self-reflexive, almost auto-ethnographical account of how my life and my work have been intertwined. I am looking into how my readings and writings have reflected to some extent my experiences while also helping to dissect and analyse those. Naturally my family, my husband and four children, have been drawn, willy nilly, into this great transnational journey. The aim of this chapter, as with our whole book, is to blend the academic with the creative writing in an effort to enrich our understanding of international migrations.
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 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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.008 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".