Occupational justice in sociotechnical contexts: Exploring immigrant platform workers’ experiences of doing, being, becoming, and belonging
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
Grounded in occupational justice and sociotechnical perspectives, this focused ethnographic study explored how immigrant platform workers construct meaning through diverse forms of occupational engagement—doing, being, becoming, and belonging—within sociotechnical contexts. Drawing on interviews with 30 immigrant platform workers in Vancouver, Canada, the study highlights the heterogeneity of platform labour, moving beyond commonly studied sectors such as ride-hailing and food delivery to challenge conventional narratives that frame platform-mediated employment solely as income-generating activity. The findings, organized into four interrelated themes, provide an in-depth account of how workers engage in, make sense of, and reconfigure their occupations within sociotechnically mediated contexts. The first theme, Doing Within and Beyond Sociotechnical Boundaries, examines how participants’ everyday occupations are shaped by both the technical demands of platforms and the social negotiations required to maintain client relationships, reputations, and relevance. The second theme, Being at the Edge of Visibility, explores how the interplay of social and technical systems renders workers simultaneously visible, through metrics, ratings, and platform profiles; and invisible, through lack of recognition and relational connection. The third theme, Boundless Becoming, reveals the fluid and aspirational nature of participants’ occupational trajectories, shaped by transnational opportunities and sociotechnical structures. Finally, Belonging Beyond the Bubble highlights how these workers cultivate inclusion within platform-specific communities while navigating broader structures of marginalization. This paper contributes to a more inclusive understanding of occupational engagement in platform-mediated labor, emphasizing the importance of supporting diverse occupational needs, rights, and aspirations beyond economic outcomes.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.003 |
| 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