Immigrant IT Workers' Experiences With Remote Work: Temporal, Spatial, and Ideological Dimensions of Paid/Unpaid Work and Care
Bibliographic record
Abstract
ABSTRACT This article examines immigrant IT workers' experiences with remote work. Through interviews with 21 immigrant IT employees, I find that remote work is used to bridge care/work obligations. Bridging occurs spatially , for example, when working from home enables family members to return to countries of origin for extended periods of time. And bridging occurs ideologically , by enabling remote workers to enact gendered self‐concepts that may be otherwise challenging to achieve. For women, this means they can maintain focus on paid work, while for men, it means engaging in involved fatherhood by taking on more childcare duties. These findings enhance the social shaping of technology perspective by delineating immigrants' gendered relationships with ICT‐mediated remote work, and the intricacies of time use. While ICT‐mediated remote work is conferred on individual employees, it is used to allocate a variety of (unpaid) care relations, both intra‐ and inter‐household. Remote work is not merely an individual‐level experience, and preferences for and against it may be incidental, in the case of immigrants. Rather it is necessary for many to bridge care/work gaps shaped by immigrants' experiences.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.007 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".