Assimilation, Integration or Inclusion? A Dialectical Perspective on the Organizational Socialization of Migrants
Bibliographic record
Abstract
Given the increasing importance of migrations around the world, and the challenges that migrants face in entering the labor market, the process of socialization of migrants into organizations deserves more attention from management scholars. Indeed, societal discourses promoting equality and diversity often appear to be in contradiction with the unequal power relations migrants experience on entering the workforce. Drawing on a dialectic perspective and a qualitative meta-synthesis methodology, we show how the practices engaged in by organizations to socialize migrant employees are deeply embedded in and influenced by macro-social contexts that may place migrants at a disadvantage, giving rise to emerging tensions. We examine a range of contingencies that can mitigate the inequalities that migrants experience, and we reveal a variety of dynamic dialectical pathways surrounding migrant socialization practices through which they may be reproduced or transformed depending on the mutual relationships between situated conditions, emerging tensions and human praxes.
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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 | 0.015 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.008 | 0.037 |
| Scholarly communication | 0.011 | 0.013 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".