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Record W4391782858 · doi:10.1177/04866134231224043

The Nature of Labor’s Vulnerability to Exploitation

2024· article· en· W4391782858 on OpenAlexaff
Mukesh Eswaran

Bibliographic record

VenueReview of Radical Political Economics · 2024
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsVulnerability (computing)EconomicsNatural resource economicsEconomic geographyComputer securityComputer science

Abstract

fetched live from OpenAlex

I identify a hitherto unrecognized contribution of labor to production stemming from an innate sense of psychological ownership of the fruits of one’s labor. This is rooted in the consciousness accompanying all human activities and is distinct from legal ownership. Consciousness is inalienable; it cannot be contracted on. Labor’s psychological ownership generates quasi-rents, which can be appropriated by capitalist firms with market power. Monopsony power, now empirically seen to be ubiquitous in labor markets, has more serious efficiency and equity consequences than recognized. In a neoclassical framework, I also show why labor is uniquely vulnerable to exploitation—reconciling it with Marxian views. If capitalist owners are taken to be unaware of their workers’ psychological ownership, this exploitation occurs even in competitive labor markets. JEL Classification: P12, J22, J3, J42, D41

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)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.010
Scholarly communication0.0040.004
Open science0.0000.004
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.039
GPT teacher head0.434
Teacher spread0.395 · 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 designTheoretical or conceptual
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

Citations2
Published2024
Admission routes1
Has abstractyes

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