Mexican hospitality migrants and the spatial and geographic regulation of mobility
Bibliographic record
Abstract
Mobility (and control over it) is partially mediated by migrant capital and how it is evaluated across time and space. This study draws on the concept of multiple migration – wherein migration is viewed as potentially multidirectional and open-ended over the life course – to examine the plight of male, Mexican hospitality staff globally on the move. These participants are unique in that they had experience working as hospitality staff in different countries under different legal classifications. In the US they were undocumented, in Mexico they were deported nationals, and in Canada they were received as temporary migrant workers. Their accounts bring different mobilities – illegal, forced, contract, and returned – under one analytical frame to illuminate how mobilities are spatially and geographically regulated. As the article details, their mobility depended on the resources they accrued during migration and whether these resources could be converted into relevant capital, with class, gender and race significant mediating factors. When contextualised, their accounts offer unique insights into immigration controls, transnational labour regimes, political economy and how access to capital shapes gendered identities and hierarchies. Their evaluations vis-à-vis other (global) workers also mediated their legal incorporation, governed by normative ideals that shape prospects and life outcomes in the current economy.
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.
How this classification was reachedexpand
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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".