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Record W2967862768 · doi:10.1080/07078552.2019.1612165

From productive to cognitive dependence: knowledge-based economies and highly qualified migrants in Latin America

2019· article· en· W2967862768 on OpenAlexvenueno aff
Francesco Maniglio

Bibliographic record

VenueStudies in Political Economy · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicEmployment, Labor, and Gender Studies
Canadian institutionsnot available
Fundersnot available
KeywordsContradictionLatin AmericansDominance (genetics)Consolidation (business)Division of labourCompetition (biology)EconomicsContext (archaeology)Economic geographyPolitical scienceMarket economyGeography

Abstract

fetched live from OpenAlex

Since the 1990s, labour markets in the core countries have been extending recruitment fields into other countries to meet the growing demand for qualified workers, creating a situation of international competition. Rethinking the Marxian dependence approach, this paper posits that the international migration of highly qualified workers would account for the consolidation of a specific geography, which includes dominance by knowledge-based economies. The new social formations that arise from the migration of qualified workers bring to the fore the issue of international division of labour and knowledge. In this context, the agenda of knowledge-based economies shows the new forms of contradiction between dependence and development.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.008
Scholarly communication0.0030.003
Open science0.0000.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.065
GPT teacher head0.390
Teacher spread0.325 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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