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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 OpenAlex
Francesco Maniglio

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.

venuePublished in a venue whose home country is Canada.
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

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.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.439
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.065
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