The Development of The Outline For Migrant Family Research: The Case of Lithuania
Bibliographic record
Abstract
The de-bordering of Europe and the development of intra-European mobility is seen as one of the main factors of recent wave of the mass emigration from Lithuania giving rise of the family changes. The article aims to trace the development of the outline for migrant family research by discussing the social, empirical and theoretical premises that has lead the author for further research of families touched by migration through the lens of changes, resources, definitions of the situations and impact management practices. An innovative methodological and theoretical approach to study migrant families is introduced with the focus on pragmatic approach and integrative methodology, combination of theories, methods, and data for the purpose of analytic density. The author theorizes family change and coping with hardships by means of ideas of symbolic interactionism, theoretical constructs of intergenerational solidarity, kin networks, personal networks and conceptions of family practices: doing and displaying family.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".