Untangling Space and Career Action: Migrant Career Recontextualization in the Host City
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
As many skilled migrants settle in global cities, we explore how physical and social embeddedness in host cities may predispose migrant career action and integration. We highlight the significance of migrants’ desire for spatial continuity and belongingness as the foundation for their career efforts. In crossing city boundaries, migrants interact and learn from host city artifacts; thus, we illustrate the facilitating and constraining role of the host city on migrants’ ability to apply and translate their foreign career capital locally. We discover career recontextualization that embodies not only transfer, but also translation and transformation, of career knowledge from home to host city context, through local boundary objects (e.g., city artifacts) as intermediaries. Career recontextualization is enacted via three unique types of career action: career orienting, cross-boundary career adaptation, and creative career action (e.g., new boundary object creation). Thus, we extend boundary object theory to the city context and explore the role of transferring work-related knowledge as well as the ability to control and influence careers of newcomers. Finally, we provide a novel perspective on the intricate relationship between career recontextualization and migrant integration in the host city, leading to a discovery of two unique types of integration (functional and holistic).
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.
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