Immigrants in the Labour Market: Transnationalism and Segmentation
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.
Bibliographic record
Abstract
Abstract Various theories speak towards the labour market segmentation of an immigrant workforce. Theoretical frameworks such as Dual Labour Market Theory or Hierarchy Theory provide some value in outlining why immigrants are often found in the least desirable forms of employment. However, most theories do not consider the phenomenon of immigrant transnationalism and how forces at multiple scales shape labour market trajectories. In this paper we argue that traditional theories primarly consider socioeconomic factors in destination countries, and focus on factors at the local or national scale of analysis. In contrast, the literature on transnationalism illustrates how socioeconomic processes that operate at the global scale also influence the employment trajectories of immigrants. The integration of transnationalism with traditional labour market theories therefore provides a more complete picture when trying to understand the segmentation of an immigrant workforce.
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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 | 0.000 | 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 it