Temporary labour migration, global redistribution, and democratic justice
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
Calls to expand temporary work programmes come from two directions. First, as global justice advocates observe, every year thousands of poor migrants cross borders in search of better opportunities, often in the form of improved employment opportunities. As a result, international organizations now lobby in favour of expanding ‘guest-work’ opportunities, that is, opportunities for citizens of poorer countries to migrate temporarily to wealthier countries to fill labour shortages. Second, temporary work programmes permit domestic governments to respond to two internal, contradictory political pressures: (1) to fill labour shortages and (2) to do so without increasing rates of permanent migration. Temporary work programmes permit governments to appear ‘tough’ on migration, while responding to employer pressure to locate workers willing to work in low-skilled, poorly remunerated positions. The coincidence of national self-interest and global justice generates a strong case in favour of expanding guest-work. We evaluate the moral benefits and burdens of expanding guest-work opportunities, and conclude that although there are benefits to be gleaned from the perspective of global wealth redistribution, at present, temporary work programmes are generally unjust. We will argue that just temporary work programmes, in time, permit temporary workers to attain citizenship. This spells the end of traditional temporary work programmes, which require that workers return to their home country in time; instead, what is temporary is the employment obligation that must be fulfilled as a requirement to access citizenship. As long as this requirement is met, we endorse guest-work programmes as a tool to respond to global inequality.
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 | 0.000 | 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 | 0.001 | 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