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Record W2972439680 · doi:10.1177/194277861901200201

Social Upgrading as Market Fantasy: The Limits of Global Value Chain Integration

2019· article· en· W2972439680 on OpenAlex

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

VenueHuman Geography · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal trade, sustainability, and social impact
Canadian institutionsSaint Mary's University
Fundersnot available
KeywordsFantasyIdeologyValue (mathematics)PovertyPoliticsSociologyPsychoanalytic theoryEconomic systemPolitical economyEconomicsPositive economicsPolitical scienceEconomic growthPsychologyLawPsychoanalysis

Abstract

fetched live from OpenAlex

Confronted with mixed evidence linking economic upgrading in global value chains to improved social outcomes, proponents have called for a new emphasis on “social upgrading” to promote better employment, gender equality, and poverty reduction. Originally focused on a central role for states, unions, and social movements, the discourse on social upgrading has shifted, emphasizing the benefits of corporate social responsibility and global markets. Drawing on political economic, critical theory, and psychoanalytic paradigms, we explore the politics of this shift and argue that social upgrading is gradually being deployed as a neoliberal market fantasy, designed not to challenge the limits of market integration, but to obscure and deny them. The strength of the social upgrading discourse emerges less from its pretense toward objective, data-driven analysis, than its effectiveness as an ideological fantasy in meeting the contradictory, non-rational desires of experts and non-experts.

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 score0.409
Threshold uncertainty score0.633

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.280
Teacher spread0.261 · 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