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Record W4411106769 · doi:10.1080/0023656x.2025.2511705

Building the migration industry: socialist Yugoslavia’s agenda for labour migrants’ pre-departure training

2025· article· en· W4411106769 on OpenAlex
Mato Bošnjak

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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueLabor History · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicPost-Communist Economic and Political Transition
Canadian institutionsnot available
FundersVetenskapsrådetUniversity of TorontoUniversity of Cambridge
KeywordsTraining (meteorology)Political scienceEconomic historyLabour economicsEconomicsGeography

Abstract

fetched live from OpenAlex

This article explores labour migrants’ pre-departure training in socialist Yugoslavia, commenced by the Yugoslav government to further structure and control labour emigration and aligns it with the state’s objectives and labour migration policy. Informed by the theory of institutional change, the article utilises primary archival sources produced by Yugoslavia’s key stakeholders in labour emigration. It elucidates the Yugoslav government’s and broader establishment’s attitudes towards pre-departure training, their objectives in implementing pre-departure training, and their efforts to expand and institutionalise it as a regular platform for sending workers abroad. The article argues that the Yugoslav government and broader establishment aimed to establish pre-departure training as a regular platform for sending workers abroad and thus increase the state’s profit and control over labour emigration. Furthermore, the article argues that pre-departure training remained limited in scope due to Yugoslavia’s reluctance to invest the resources necessary for its organisational development and institutionalisation.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.927
Threshold uncertainty score0.933

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.052
GPT teacher head0.339
Teacher spread0.286 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it