MétaCan
Menu
Back to cohort

South-North Nurse Migration and Accumulation by Dispossession in the Late 20th and Early 21st Centuries

2012· article· en· W340350129 on OpenAlex
Salimah Valiani

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueWorld Review of Political Economy · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsEconomic shortageInequalityGlobal SouthPolitical scienceDevelopment economicsEconomicsEconomic geography

Abstract

fetched live from OpenAlex

Using David Harvey's notion of “accumulation by dispossession,” this article brings systematic understanding to the connections between two widely observed contemporary phenomena: growing inequality on a world scale, and the rapidly increasing shortages of nursing and other health labor in the global South. Through an exploration of the dynamics of late 20th-and early 21st-century nurse migration, it is demonstrated that the increasing flow of temporary migrant skilled labor from African and other countries of the global South, to the global North, is a new form of accumulation by dispossession. Socialist feminist notions of caring labor and the Marxian concept of unequal exchange are used to articulate how the disproportionate accumulation of global nursing labor in the global North represents a dispossession of yet greater proportions in the global South.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.693
Threshold uncertainty score0.568

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 studies0.0000.000
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 head0.019
GPT teacher head0.322
Teacher spread0.303 · 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